nn() isnn() puts a neural network inside a model. You write it
where you would write any other term, and everything else is an ordinary
rxode2/nlmixr2 workflow: the model solves,
nlmixr2() fits it, predict() works,
saveRDS() works.
library(nlmixr2nn)
mod <- function() {
ini({
lka <- 0.5
lVc <- 1
})
model({
ka <- exp(lka)
Vc <- exp(lVc)
d/dt(depot) <- -ka * depot
## a 6-unit network of the central amount enters the elimination
d/dt(central) <- ka * depot - nn(central, nHidden = 6)
cp <- central / Vc
})
}
rxode2::rxSetSeed(42)
ui <- rxode2::rxode2(mod)
#> ℹ parameter labels from comments are typically ignored in non-interactive mode
#> ℹ Need to run with the source intact to parse commentsThe network is opaque: it becomes a single compiled call, so the model text stays the same size no matter how big the network is. Its value and its exact input derivatives are computed in fast thread-safe C, and those derivatives are what make a random effect passed into a network identifiable.
cat(paste(ui$lstChr, collapse = "\n"))
#> ka <- exp(lka)
#> Vc <- exp(lVc)
#> d/dt(depot) <- -ka * depot
#> rx_nnw0_ <- rxnnW1_0_1_1 + rxnnW1_0_2_1 + rxnnW1_0_3_1 + rxnnW1_0_4_1 + rxnnW1_0_5_1 + rxnnW1_0_6_1 + rxnnB1_0_1 + rxnnB1_0_2 + rxnnB1_0_3 + rxnnB1_0_4 + rxnnB1_0_5 + rxnnB1_0_6 + rxnnW2_0_1 + rxnnW2_0_2 + rxnnW2_0_3 + rxnnW2_0_4 + rxnnW2_0_5 + rxnnW2_0_6 + rxnnB2_0
#> d/dt(central) <- ka * depot - nn1(0, central)
#> cp <- central/VcThe weights were drawn when the model was parsed, using rxode2’s
threefry generator — so rxSetSeed() reproduces a network
exactly, in this session or any other, and the model is ready to solve
immediately. Threefry is also the generator whose stream is defined
across threads, so a network is reproducible in the same places a
parallel solve is. Drawing weights disturbs neither the R stream nor the
rxode2 seed.
head(nnWeights(ui), 4)
#> rxnnW1_0_1_1 rxnnW1_0_2_1 rxnnW1_0_3_1 rxnnW1_0_4_1
#> -0.9058632 1.5106134 3.5083403 -2.5716819Everything below is a single nlmixr2() call. There is no
setup step.
Because the model carries its own weights, it solves straight away. This is the quickest way to check that a model does what you think before fitting anything.
ev <- rxode2::et(amt = 100, cmt = "depot") |> rxode2::et(0, 24, by = 4)
head(rxode2::rxSolve(ui, ev), 4)
#> time ka Vc rx_nnw0_ cp depot central
#> 1 0 1.648721 2.718282 1.118299 0.00000 1.000000e+02 0.00000
#> 2 4 1.648721 2.718282 1.118299 27.78800 1.367344e-01 75.53562
#> 3 8 1.648721 2.718282 1.118299 20.01552 1.869613e-04 54.40783
#> 4 12 1.648721 2.718282 1.118299 14.38974 2.561300e-07 39.11537Keep the mechanism you trust and let a small network absorb the part
you do not. Here the truth is a saturating (Michaelis-Menten)
elimination that varies between subjects; the model knows only that
elimination is some bounded function of the amount, and a
latent random effect eta.nn enters the network as an
input.
rxode2::rxSetSeed(1) # pins the network
set.seed(1) # pins the simulated data below
truth <- rxode2::rxode2("d/dt(centr) = -(2*exp(eV))*centr/(3+centr)")
etaTrue <- rnorm(8, 0, sqrt(0.15))
d <- do.call(rbind, lapply(1:8, function(id) {
s <- rxode2::rxSolve(truth,
data.frame(id = id, time = c(0, .5, 1, 2, 4, 6, 8, 10),
evid = c(1, rep(0, 7)), cmt = 1, amt = c(10, rep(0, 7))),
params = c(eV = etaTrue[id]), returnType = "data.frame")
s <- s[s$time > 0, ]
data.frame(id = id, time = c(0, s$time), evid = c(1, rep(0, nrow(s))), cmt = 1,
amt = c(10, rep(0, nrow(s))), dv = c(NA, s$centr + rnorm(nrow(s), 0, .1)))
}))
ude <- function() {
ini({ add.sd <- 0.3; eta.nn ~ 0.2 })
model({
g <- nn(centr, eta.nn, nHidden = 3, act = "tanh")
d/dt(centr) <- -(1 / (1 + exp(-g))) * centr # a bounded learned rate
centr ~ add(add.sd)
})
}
fit <- nlmixr2est::nlmixr2(ude, d, "focei")
#> ℹ parameter labels from comments are typically ignored in non-interactive mode
#> ℹ Need to run with the source intact to parse comments
#> Warning: some etas defaulted to non-mu referenced, possible parsing error: eta.nn
#> as a work-around try putting the mu-referenced expression on a simple line
#> Registered S3 method overwritten by 'minqa':
#> method from
#> print.minqa RcppTrust
#> Warning: some etas defaulted to non-mu referenced, possible parsing error: eta.nn
#> as a work-around try putting the mu-referenced expression on a simple line
#> [====|====|====|====|====|====|====|====|====|====] 0:00:00
#>
#> [====|====|====|====|====|====|====|====|====|====] 0:00:00
#>
#> [====|====|====|====|====|====|====|====|====|====] 0:00:00
#>
#> [====|====|====|====|====|====|====|====|====|====] 0:00:00
#>
#> [====|====|====|====|====|====|====|====|====|====] 0:00:00
#>
#> [====|====|====|====|====|====|====|====|====|====] 0:00:00
#>
#> [====|====|====|====|====|====|====|====|====|====] 0:00:00
#>
#> [====|====|====|====|====|====|====|====|====|====] 0:00:00
#>
#> [====|====|====|====|====|====|====|====|====|====] 0:00:00
#>
#> [====|====|====|====|====|====|====|====|====|====] 0:00:00
#>
#> [====|====|====|====|====|====|====|====|====|====] 0:00:00
#>
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| 2945.8976 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| 2945.8976 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| 2945.8976 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| 2945.8976 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| 2945.8976 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| 2945.8976 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| 2945.8976 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| 2945.8976 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| 2945.8976 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| 1606.6904 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| 1606.6904 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| 1606.6904 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| 1606.6904 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| 1606.6904 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| 1606.6904 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| 1606.6904 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| 1606.6904 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| 1606.6904 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| 550.85688 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| 550.85668 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| 550.85668 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| 550.85668 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| 550.85668 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| 550.85668 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| 550.85668 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| 550.85668 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| 550.85668 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| 68.574875 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| 68.573963 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| 68.573963 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| 68.573963 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| 68.573963 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| 68.573963 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| 68.573963 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| 68.573963 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| 68.573963 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -39.042524 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -39.042457 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -39.042472 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -39.042469 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -39.042469 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -39.042469 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -39.042469 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -39.042469 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -39.042469 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -53.378372 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -53.378464 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -53.378464 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -53.378464 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -53.378464 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -53.378464 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -53.378464 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -53.378464 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -53.378464 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -57.969352 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -57.969363 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -57.969373 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -57.969373 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -57.969373 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -57.969373 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -57.969373 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -57.969373 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -57.969373 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -58.799056 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -58.799069 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -58.799069 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -58.799069 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -58.799069 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -58.799069 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -58.799069 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -58.799069 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -58.799069 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -60.209250 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -60.209252 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -60.209252 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -60.209252 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -60.209252 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -60.209252 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -60.209252 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -60.209252 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -60.209252 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -60.547078 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -60.547084 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -60.547084 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -60.547084 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -60.547084 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -60.547084 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -60.547084 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -60.547084 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -60.547084 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -60.823523 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -60.823412 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -60.823412 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -60.823412 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -60.823412 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -60.823412 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -60.823412 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -60.823412 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -60.823412 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -61.075595 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -61.075604 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -61.075604 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -61.075604 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -61.075604 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -61.075604 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -61.075604 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -61.075604 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -61.075604 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -61.341950 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -61.341944 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -61.341944 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -61.341944 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -61.341944 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -61.341944 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -61.341944 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -61.341944 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -61.341944 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -61.622112 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -61.622112 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -61.622112 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -61.622112 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -61.622112 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -61.622112 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -61.622112 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -61.622112 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -61.622112 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -61.932306 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -61.932454 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -61.932454 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -61.932454 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -61.932454 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -61.932454 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -61.932454 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -61.932454 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -61.932454 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -62.308920 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -62.308923 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -62.308923 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -62.308923 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -62.308923 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -62.308923 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -62.308923 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -62.308923 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -62.308923 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -62.758617 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -62.758620 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -62.758620 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -62.758620 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -62.758620 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -62.758620 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -62.758620 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -62.758620 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -62.758620 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -63.303482 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -63.303483 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -63.303483 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -63.303483 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -63.303483 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -63.303483 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -63.303483 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -63.303483 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -63.303483 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -63.834073 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -63.834081 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -63.834081 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -63.834081 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -63.834081 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -63.834081 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -63.834081 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -63.834081 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -63.834081 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -64.179736 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -64.179704 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -64.179704 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -64.179704 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -64.179704 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -64.179704 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -64.179704 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -64.179704 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -64.179704 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -64.264533 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -64.264490 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -64.264490 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -64.264490 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -64.264490 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -64.264490 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -64.264490 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -64.264490 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -64.264490 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -64.207604 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -64.207572 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -64.207572 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -64.207572 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -64.207572 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -64.207572 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -64.207572 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -64.207572 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -64.207572 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -64.167766 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -64.167734 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -64.167734 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -64.167734 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -64.167734 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -64.167734 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -64.167734 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -64.167734 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -64.167734 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -64.188511 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -64.188459 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -64.188459 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -64.188459 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -64.188459 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -64.188459 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -64.188459 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -64.188459 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -64.188459 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -64.266024 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -64.265991 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -64.266011 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -64.266011 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -64.266011 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -64.266011 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -64.266011 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -64.266011 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -64.266011 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -64.382067 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -64.382068 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -64.382068 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -64.382068 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -64.382068 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -64.382068 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -64.382068 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -64.382068 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -64.382068 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -64.512387 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -64.512386 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -64.512386 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -64.512386 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -64.512386 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -64.512386 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -64.512386 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -64.512386 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -64.512386 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -64.668094 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -64.668094 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -64.668094 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -64.668094 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -64.668094 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -64.668094 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -64.668094 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -64.668094 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -64.668094 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -64.880006 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -64.879951 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -64.879951 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -64.879951 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -64.879951 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -64.879951 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -64.879951 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -64.879951 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -64.879951 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -65.155810 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -65.155815 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -65.155815 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -65.155815 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -65.155815 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -65.155815 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -65.155815 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -65.155815 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -65.155815 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -65.479294 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -65.479247 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -65.479247 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -65.479247 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -65.479247 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -65.479247 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -65.479247 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -65.479247 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -65.479247 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -65.796582 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -65.796582 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -65.796582 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -65.796582 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -65.796582 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -65.796582 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -65.796582 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -65.796582 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -65.796582 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -66.031649 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -66.031649 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -66.031649 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -66.031649 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -66.031649 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -66.031649 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -66.031649 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -66.031649 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -66.031649 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -66.122550 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -66.122553 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -66.122553 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -66.122553 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -66.122553 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -66.122553 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -66.122553 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -66.122553 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -66.122553 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -66.107211 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -66.107358 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -66.107358 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -66.107358 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -66.107358 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -66.107358 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -66.107358 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -66.107358 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -66.107358 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -66.057932 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -66.057936 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -66.057936 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -66.057936 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -66.057936 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -66.057936 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -66.057936 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -66.057936 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -66.057936 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -66.041544 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -66.041599 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -66.041599 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -66.041599 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -66.041599 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -66.041599 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -66.041599 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -66.041599 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -66.041599 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -66.053593 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -66.053595 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -66.053595 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -66.053595 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -66.053595 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -66.053595 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -66.053595 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -66.053595 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -66.053595 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -66.073725 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -66.073790 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -66.073826 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -66.073826 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -66.073826 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -66.073826 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -66.073826 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -66.073826 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -66.073826 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -66.117699 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -66.117705 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -66.117705 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -66.117705 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -66.117705 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -66.117705 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -66.117705 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -66.117705 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -66.117705 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -66.186700 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -66.186701 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -66.186701 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -66.186701 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -66.186701 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -66.186701 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -66.186701 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -66.186701 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -66.186701 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -66.287272 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -66.287274 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -66.287274 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -66.287274 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -66.287274 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -66.287274 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -66.287274 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -66.287274 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -66.287274 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -66.434276 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -66.434276 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -66.434276 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -66.434276 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -66.434276 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -66.434276 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -66.434276 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -66.434276 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -66.434276 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -66.625701 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -66.625704 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -66.625704 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -66.625704 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -66.625704 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -66.625704 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -66.625704 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -66.625704 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -66.625704 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -66.849842 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -66.849844 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -66.849844 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -66.849844 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -66.849844 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -66.849844 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -66.849844 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -66.849844 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -66.849844 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -67.088585 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -67.088591 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -67.088591 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -67.088591 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -67.088591 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -67.088591 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -67.088591 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -67.088591 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -67.088591 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -67.310074 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -67.310107 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -67.310107 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -67.310107 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -67.310107 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -67.310107 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -67.310107 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -67.310107 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -67.310107 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -67.471567 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -67.471570 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -67.471570 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -67.471570 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -67.471570 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -67.471570 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -67.471570 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -67.471570 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -67.471570 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -67.555875 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -67.555896 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -67.555897 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -67.555897 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -67.555897 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -67.555897 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -67.555897 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -67.555897 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -67.555897 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -67.579273 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -67.579298 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -67.579298 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -67.579298 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -67.579298 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -67.579298 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -67.579298 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -67.579298 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -67.579298 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -67.568534 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -67.568689 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -67.568816 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -67.568816 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -67.568816 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -67.568816 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -67.568816 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -67.568816 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -67.568816 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -67.549564 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -67.549594 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -67.549594 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -67.549594 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -67.549594 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -67.549594 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -67.549594 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -67.549594 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -67.549594 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -67.547932 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -67.547932 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -67.547932 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -67.547932 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -67.547932 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -67.547932 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -67.547932 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -67.547932 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -67.547932 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -67.546735 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -67.546743 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -67.546743 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -67.546743 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -67.546743 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -67.546743 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -67.546743 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -67.546743 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -67.546743 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -67.559488 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -67.559488 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -67.559488 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -67.559488 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -67.559488 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -67.559488 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -67.559488 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -67.559488 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -67.559488 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -67.587044 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -67.587045 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -67.587045 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -67.587045 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -67.587045 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -67.587045 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -67.587045 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -67.587045 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -67.587045 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -67.636591 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -67.636593 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -67.636593 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -67.636593 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -67.636593 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -67.636593 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -67.636593 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -67.636593 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -67.636593 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -67.708187 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -67.708187 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -67.708187 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -67.708187 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -67.708187 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -67.708187 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -67.708187 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -67.708187 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -67.708187 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -67.804913 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -67.804913 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -67.804913 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -67.804913 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -67.804913 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -67.804913 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -67.804913 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -67.804913 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -67.804913 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -67.926004 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -67.926008 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -67.926008 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -67.926008 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -67.926008 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -67.926008 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -67.926008 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -67.926008 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -67.926008 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -68.069159 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -68.069125 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -68.069125 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -68.069125 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -68.069125 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -68.069125 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -68.069125 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -68.069125 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -68.069125 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -68.224902 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -68.224901 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -68.224901 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -68.224901 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -68.224901 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -68.224901 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -68.224901 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -68.224901 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -68.224901 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -68.380986 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -68.380990 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -68.380990 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -68.380990 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -68.380990 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -68.380990 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -68.380990 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -68.380990 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -68.380990 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -68.524208 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -68.524230 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -68.524229 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -68.524229 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -68.524229 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -68.524229 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -68.524229 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -68.524229 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -68.524229 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -68.635473 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -68.635489 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -68.635488 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -68.635488 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -68.635488 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -68.635488 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -68.635488 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -68.635488 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -68.635488 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -68.705559 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -68.705573 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -68.705573 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -68.705573 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -68.705573 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -68.705573 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -68.705573 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -68.705573 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -68.705573 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -68.741344 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -68.741355 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -68.741354 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -68.741354 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -68.741354 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -68.741354 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -68.741354 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -68.741354 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -68.741354 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -68.750437 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -68.750451 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -68.750450 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -68.750450 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -68.750450 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -68.750450 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -68.750450 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -68.750450 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -68.750450 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -68.750426 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -68.750442 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -68.750442 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -68.750442 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -68.750442 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -68.750442 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -68.750442 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -68.750442 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -68.750442 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -68.744717 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -68.744720 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -68.744720 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -68.744720 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -68.744720 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -68.744720 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -68.744720 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -68.744720 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -68.744720 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -68.742605 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -68.742622 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -68.742622 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -68.742622 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -68.742622 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -68.742622 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -68.742622 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -68.742622 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -68.742622 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -68.743483 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -68.743506 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -68.743505 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -68.743505 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -68.743505 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -68.743505 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -68.743505 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -68.743505 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -68.743505 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -68.748598 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -68.748600 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -68.748600 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -68.748600 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -68.748600 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -68.748600 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -68.748600 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -68.748600 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -68.748600 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -68.765790 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -68.765791 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -68.765791 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -68.765791 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -68.765791 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -68.765791 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -68.765791 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -68.765791 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -68.765791 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -68.793087 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -68.793089 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -68.793089 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -68.793089 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -68.793089 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -68.793089 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -68.793089 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -68.793089 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -68.793089 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -68.832961 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -68.832962 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -68.832962 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -68.832962 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -68.832962 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -68.832962 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -68.832962 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -68.832962 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -68.832962 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -68.889643 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -68.889644 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -68.889645 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -68.889645 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -68.889645 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -68.889645 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -68.889645 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -68.889645 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -68.889645 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -68.961318 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -68.961319 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -68.961319 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -68.961319 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -68.961319 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -68.961319 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -68.961319 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -68.961319 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -68.961319 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -69.051533 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -69.051534 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -69.051534 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -69.051534 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -69.051534 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -69.051534 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -69.051534 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -69.051534 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -69.051534 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -69.149911 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -69.149935 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -69.149935 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -69.149935 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -69.149935 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -69.149935 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -69.149935 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -69.149935 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -69.149935 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -69.261366 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -69.261382 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -69.261382 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -69.261382 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -69.261382 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -69.261382 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -69.261382 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -69.261382 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -69.261382 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -69.390261 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -69.390262 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -69.390262 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -69.390262 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -69.390262 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -69.390262 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -69.390262 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -69.390262 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -69.390262 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -69.504583 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -69.504590 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -69.504589 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -69.504589 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -69.504589 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -69.504589 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -69.504589 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -69.504589 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -69.504589 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -69.609710 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -69.609716 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -69.609716 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -69.609716 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -69.609716 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -69.609716 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -69.609716 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -69.609716 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -69.609716 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -69.697593 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -69.697594 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -69.697594 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -69.697594 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -69.697594 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -69.697594 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -69.697594 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -69.697594 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -69.697594 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -69.758921 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -69.758914 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -69.758914 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -69.758914 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -69.758914 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -69.758914 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -69.758914 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -69.758914 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -69.758914 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -69.800113 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -69.800114 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -69.800114 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -69.800114 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -69.800114 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -69.800114 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -69.800114 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -69.800114 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -69.800114 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -69.819535 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -69.819537 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -69.819537 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -69.819537 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -69.819537 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -69.819537 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -69.819537 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -69.819537 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -69.819537 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -69.829387 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -69.829388 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -69.829388 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -69.829388 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -69.829388 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -69.829388 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -69.829388 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -69.829388 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -69.829388 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -69.835784 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -69.835774 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -69.835774 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -69.835774 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -69.835774 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -69.835774 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -69.835774 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -69.835774 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -69.835774 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -69.838986 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -69.838987 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -69.838987 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -69.838987 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -69.838987 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -69.838987 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -69.838987 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -69.838987 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -69.838987 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -69.843350 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -69.843352 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -69.843352 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -69.843352 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -69.843352 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -69.843352 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -69.843352 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -69.843352 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -69.843352 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -69.848980 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -69.848982 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -69.848982 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -69.848982 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -69.848982 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -69.848982 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -69.848982 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -69.848982 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -69.848982 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -69.857783 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -69.857785 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -69.857785 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -69.857785 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -69.857785 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -69.857785 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -69.857785 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -69.857785 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -69.857785 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -69.869817 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -69.869823 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -69.869823 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -69.869823 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -69.869823 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -69.869823 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -69.869823 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -69.869823 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -69.869823 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -69.890777 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -69.890778 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -69.890778 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -69.890778 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -69.890778 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -69.890778 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -69.890778 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -69.890778 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -69.890778 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -69.920645 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -69.920648 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -69.920648 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -69.920648 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -69.920648 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -69.920648 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -69.920648 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -69.920648 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -69.920648 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -69.961576 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -69.961566 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -69.961566 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -69.961566 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -69.961566 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -69.961566 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -69.961566 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -69.961566 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -69.961566 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -70.009885 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -70.009889 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -70.009889 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -70.009889 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -70.009889 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -70.009889 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -70.009889 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -70.009889 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -70.009889 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -70.074821 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -70.074822 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -70.074822 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -70.074822 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -70.074822 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -70.074822 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -70.074822 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -70.074822 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -70.074822 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -70.150168 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -70.150170 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -70.150170 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -70.150170 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -70.150170 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -70.150170 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -70.150170 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -70.150170 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -70.150170 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -70.234261 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -70.234261 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -70.234261 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -70.234261 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -70.234261 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -70.234261 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -70.234261 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -70.234261 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -70.234261 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -70.325795 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -70.325796 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -70.325796 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -70.325796 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -70.325796 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -70.325796 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -70.325796 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -70.325796 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -70.325796 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -70.418911 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -70.418908 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -70.418908 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -70.418908 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -70.418908 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -70.418908 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -70.418908 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -70.418908 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -70.418908 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -70.505239 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -70.505237 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -70.505237 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -70.505237 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -70.505237 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -70.505237 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -70.505237 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -70.505237 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -70.505237 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -70.593557 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -70.593557 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -70.593557 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -70.593557 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -70.593557 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -70.593557 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -70.593557 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -70.593557 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -70.593557 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -70.662690 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -70.662701 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -70.662701 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -70.662701 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -70.662701 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -70.662701 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -70.662701 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -70.662701 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -70.662701 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -70.725018 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -70.725040 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -70.725041 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -70.725041 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -70.725041 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -70.725041 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -70.725041 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -70.725041 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -70.725041 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -70.768510 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -70.768521 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -70.768521 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -70.768521 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -70.768521 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -70.768521 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -70.768521 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -70.768521 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -70.768521 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -70.803963 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -70.803973 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -70.803974 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -70.803974 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -70.803974 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -70.803974 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -70.803974 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -70.803974 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -70.803974 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -70.824935 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -70.824945 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -70.824946 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -70.824946 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -70.824946 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -70.824946 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -70.824946 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -70.824946 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -70.824946 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -70.835064 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -70.835075 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -70.835075 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -70.835075 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -70.835075 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -70.835075 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -70.835075 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -70.835075 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -70.835075 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -70.844608 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -70.844618 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -70.844618 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -70.844618 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -70.844618 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -70.844618 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -70.844618 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -70.844618 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -70.844618 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -70.858198 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -70.858197 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -70.858184 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -70.858171 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -70.858171 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -70.858171 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -70.858171 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -70.858171 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -70.858171 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -70.868831 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -70.868839 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -70.868840 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -70.868840 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -70.868840 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -70.868840 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -70.868840 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -70.868840 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -70.868840 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -70.871234 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -70.871246 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -70.871246 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -70.871246 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -70.871246 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -70.871246 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -70.871246 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -70.871246 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -70.871246 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -70.869517 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -70.869524 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -70.869524 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -70.869524 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -70.869524 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -70.869524 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -70.869524 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -70.869524 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -70.869524 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -70.880258 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -70.880269 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -70.880270 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -70.880270 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -70.880270 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -70.880270 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -70.880270 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -70.880270 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -70.880270 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -70.895809 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -70.895821 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -70.895821 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -70.895821 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -70.895821 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -70.895821 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -70.895821 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -70.895821 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -70.895821 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -70.915890 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -70.915890 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -70.915890 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -70.915890 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -70.915890 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -70.915890 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -70.915890 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -70.915890 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -70.915890 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -70.942482 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -70.942490 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -70.942490 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -70.942490 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -70.942490 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -70.942490 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -70.942490 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -70.942490 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -70.942490 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -70.976180 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -70.976187 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -70.976188 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -70.976188 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -70.976188 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -70.976188 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -70.976188 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -70.976188 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -70.976188 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -71.018287 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -71.018294 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -71.018294 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -71.018294 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -71.018294 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -71.018294 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -71.018294 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -71.018294 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -71.018294 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -71.064680 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -71.064681 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -71.064681 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -71.064681 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -71.064681 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -71.064681 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -71.064681 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -71.064681 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -71.064681 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -71.127404 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -71.127413 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -71.127413 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -71.127413 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -71.127413 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -71.127413 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -71.127413 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -71.127413 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -71.127413 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -71.192123 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -71.192131 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -71.192131 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -71.192131 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -71.192131 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -71.192131 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -71.192131 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -71.192131 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -71.192131 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -71.261085 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -71.261090 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -71.261090 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -71.261090 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -71.261090 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -71.261090 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -71.261090 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -71.261090 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -71.261090 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -71.337742 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -71.337750 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -71.337750 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -71.337750 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -71.337750 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -71.337750 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -71.337750 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -71.337750 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -71.337750 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -71.411031 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -71.411014 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -71.411015 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -71.411015 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -71.411015 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -71.411015 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -71.411015 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -71.411015 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -71.411015 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -71.485617 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -71.485620 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -71.485620 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -71.485620 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -71.485620 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -71.485620 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -71.485620 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -71.485620 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -71.485620 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -71.550407 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -71.550413 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -71.550413 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -71.550413 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -71.550413 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -71.550413 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -71.550413 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -71.550413 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -71.550413 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -71.594905 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -71.594903 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -71.594903 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -71.594903 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -71.594903 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -71.594903 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -71.594903 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -71.594903 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -71.594903 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -71.638564 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -71.638543 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -71.638528 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -71.638502 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -71.638502 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -71.638502 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -71.638502 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -71.638502 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -71.638502 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -71.670229 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -71.670227 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -71.670228 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -71.670228 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -71.670228 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -71.670228 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -71.670228 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -71.670228 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -71.670228 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -71.696701 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -71.696701 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -71.696701 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -71.696701 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -71.696701 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -71.696701 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -71.696701 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -71.696701 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -71.696701 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -71.706410 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -71.706415 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -71.706415 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -71.706415 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -71.706415 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -71.706415 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -71.706415 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -71.706415 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -71.706415 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -71.711545 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -71.711550 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -71.711550 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -71.711550 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -71.711550 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -71.711550 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -71.711550 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -71.711550 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -71.711550 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -71.725077 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -71.725083 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -71.725083 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -71.725083 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -71.725083 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -71.725083 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -71.725083 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -71.725083 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -71.725083 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -71.723717 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -71.723722 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -71.723722 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -71.723722 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -71.723722 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -71.723722 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -71.723722 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -71.723722 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -71.723722 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -71.731704 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -71.731710 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -71.731710 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -71.731710 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -71.731710 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -71.731710 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -71.731710 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -71.731710 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -71.731710 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -71.734931 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -71.734937 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -71.734938 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -71.734938 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -71.734938 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -71.734938 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -71.734938 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -71.734938 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -71.734938 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -71.740842 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -71.740847 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -71.740848 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -71.740848 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -71.740848 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -71.740848 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -71.740848 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -71.740848 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -71.740848 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -71.745592 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -71.745598 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -71.745598 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -71.745598 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -71.745598 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -71.745598 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -71.745598 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -71.745598 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -71.745598 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -71.752118 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -71.752124 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -71.752124 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -71.752124 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -71.752124 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -71.752124 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -71.752124 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -71.752124 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -71.752124 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -71.762928 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -71.762933 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -71.762934 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -71.762934 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -71.762934 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -71.762934 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -71.762934 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -71.762934 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -71.762934 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -71.777721 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -71.777708 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -71.777689 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -71.777670 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -71.777670 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -71.777670 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -71.777670 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -71.777670 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -71.777670 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -71.803708 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -71.803692 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -71.803692 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -71.803692 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -71.803692 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -71.803692 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -71.803692 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -71.803692 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -71.803692 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -71.835120 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -71.835124 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -71.835124 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -71.835124 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -71.835124 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -71.835124 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -71.835124 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -71.835124 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -71.835124 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -71.867355 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -71.867336 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -71.867336 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -71.867336 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -71.867336 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -71.867336 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -71.867336 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -71.867336 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -71.867336 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -71.901821 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -71.901818 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -71.901818 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -71.901818 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -71.901818 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -71.901818 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -71.901818 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -71.901818 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -71.901818 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -71.947929 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -71.947933 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -71.947933 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -71.947933 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -71.947933 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -71.947933 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -71.947933 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -71.947933 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -71.947933 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -71.997956 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -71.997959 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -71.997959 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -71.997959 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -71.997959 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -71.997959 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -71.997959 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -71.997959 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -71.997959 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -72.052816 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -72.052820 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -72.052820 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -72.052820 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -72.052820 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -72.052820 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -72.052820 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -72.052820 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -72.052820 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -72.108384 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -72.108384 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -72.108384 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -72.108384 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -72.108384 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -72.108384 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -72.108384 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -72.108384 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -72.108384 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -72.162976 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -72.162975 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -72.162975 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -72.162975 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -72.162975 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -72.162975 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -72.162975 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -72.162975 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -72.162975 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -72.218290 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -72.218274 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -72.218275 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -72.218275 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -72.218275 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -72.218275 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -72.218275 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -72.218275 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -72.218275 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -72.271862 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -72.271865 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -72.271865 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -72.271865 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -72.271865 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -72.271865 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -72.271865 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -72.271865 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -72.271865 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -72.316807 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -72.316812 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -72.316812 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -72.316812 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -72.316812 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -72.316812 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -72.316812 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -72.316812 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -72.316812 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -72.355540 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -72.355542 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -72.355542 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -72.355542 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -72.355542 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -72.355542 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -72.355542 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -72.355542 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -72.355542 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -72.384397 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -72.384402 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -72.384402 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -72.384402 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -72.384402 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -72.384402 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -72.384402 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -72.384402 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -72.384402 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -72.406537 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -72.406540 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -72.406540 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -72.406540 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -72.406540 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -72.406540 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -72.406540 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -72.406540 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -72.406540 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -72.422111 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -72.422111 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -72.422111 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -72.422111 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -72.422111 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -72.422111 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -72.422111 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -72.422111 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -72.422111 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -72.433753 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -72.433753 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -72.433753 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -72.433753 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -72.433753 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -72.433753 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -72.433753 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -72.433753 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -72.433753 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -72.441203 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -72.441206 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -72.441205 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -72.441205 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -72.441205 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -72.441205 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -72.441205 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -72.441205 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -72.441205 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -72.444915 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -72.444917 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -72.444917 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -72.444917 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -72.444917 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -72.444917 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -72.444917 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -72.444917 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -72.444917 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -72.447640 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -72.447641 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -72.447641 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -72.447641 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -72.447641 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -72.447641 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -72.447641 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -72.447641 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -72.447641 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -72.450225 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -72.450229 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -72.450229 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -72.450229 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -72.450229 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -72.450229 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -72.450229 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -72.450229 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -72.450229 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -72.447020 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -72.447025 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -72.447024 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -72.447024 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -72.447024 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -72.447024 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -72.447024 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -72.447024 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -72.447024 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -72.451925 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -72.451922 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -72.451923 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -72.451923 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -72.451923 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -72.451923 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -72.451923 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -72.451923 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -72.451923 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -72.454535 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -72.454538 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -72.454538 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -72.454538 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -72.454538 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -72.454538 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -72.454538 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -72.454538 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -72.454538 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -72.450366 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -72.450376 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -72.450377 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -72.450377 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -72.450377 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -72.450377 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -72.450377 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -72.450377 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -72.450377 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -72.438759 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -72.438761 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -72.438761 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -72.438761 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -72.438761 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -72.438761 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -72.438761 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -72.438761 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -72.438761 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -72.446856 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -72.446858 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -72.446858 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -72.446858 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -72.446858 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -72.446858 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -72.446858 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -72.446858 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -72.446858 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -72.466593 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -72.466598 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -72.466599 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -72.466599 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -72.466599 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -72.466599 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -72.466599 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -72.466599 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -72.466599 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -72.484605 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -72.484602 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -72.484602 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -72.484602 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -72.484602 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -72.484602 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -72.484602 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -72.484602 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -72.484602 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -72.505726 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -72.505642 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -72.505642 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -72.505642 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -72.505642 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -72.505642 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -72.505642 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -72.505642 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -72.505642 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -72.530050 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -72.530053 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -72.530053 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -72.530053 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -72.530053 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -72.530053 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -72.530053 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -72.530053 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -72.530053 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -72.560278 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -72.560280 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -72.560280 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -72.560280 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -72.560280 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -72.560280 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -72.560280 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -72.560280 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -72.560280 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -72.593425 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -72.593432 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -72.593431 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -72.593431 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -72.593431 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -72.593431 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -72.593431 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -72.593431 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -72.593431 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -72.623836 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -72.623842 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -72.623842 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -72.623842 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -72.623842 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -72.623842 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -72.623842 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -72.623842 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -72.623842 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -72.660245 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -72.660248 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -72.660248 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -72.660248 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -72.660248 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -72.660248 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -72.660248 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -72.660248 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -72.660248 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -72.696782 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -72.696794 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -72.696795 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -72.696795 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -72.696795 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -72.696795 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -72.696795 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -72.696795 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -72.696795 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -72.735957 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -72.735963 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -72.735963 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -72.735963 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -72.735963 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -72.735963 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -72.735963 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -72.735963 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -72.735963 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -72.771517 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -72.771525 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -72.771525 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -72.771525 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -72.771525 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -72.771525 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -72.771525 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -72.771525 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -72.771525 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -72.807973 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -72.807996 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -72.807996 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -72.807997 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -72.807997 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -72.807997 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -72.807997 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -72.807997 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -72.807997 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -72.844321 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -72.844321 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -72.844321 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -72.844321 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -72.844321 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -72.844321 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -72.844321 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -72.844321 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -72.844321 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -72.877003 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -72.877004 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -72.877004 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -72.877004 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -72.877004 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -72.877004 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -72.877004 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -72.877004 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -72.877004 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -72.902064 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -72.902073 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -72.902073 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -72.902073 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -72.902073 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -72.902073 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -72.902073 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -72.902073 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -72.902073 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -72.924805 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -72.924812 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -72.924812 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -72.924812 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -72.924812 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -72.924812 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -72.924812 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -72.924812 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -72.924812 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -72.945100 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -72.945102 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -72.945102 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -72.945102 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -72.945102 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -72.945102 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -72.945102 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -72.945102 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -72.945102 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -72.958399 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -72.958397 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -72.958398 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -72.958398 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -72.958398 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -72.958398 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -72.958398 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -72.958398 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -72.958398 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -72.961766 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -72.961771 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -72.961771 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -72.961771 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -72.961771 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -72.961771 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -72.961771 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -72.961771 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -72.961771 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -72.968229 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -72.968231 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -72.968231 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -72.968231 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -72.968231 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -72.968231 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -72.968231 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -72.968231 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -72.968231 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -72.973246 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -72.973244 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -72.973244 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -72.973244 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -72.973244 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -72.973244 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -72.973244 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -72.973244 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -72.973244 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -72.974134 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -72.974146 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -72.974146 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -72.974146 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -72.974146 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -72.974146 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -72.974146 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -72.974146 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -72.974146 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -72.975943 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -72.975945 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -72.975945 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -72.975945 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -72.975945 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -72.975945 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -72.975945 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -72.975945 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -72.975945 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -72.975464 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -72.975465 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -72.975465 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -72.975465 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -72.975465 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -72.975465 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -72.975465 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -72.975465 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -72.975465 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -72.975419 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -72.975428 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -72.975427 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -72.975427 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -72.975427 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -72.975427 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -72.975427 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -72.975427 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -72.975427 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -72.976149 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -72.976162 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -72.976161 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -72.976161 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -72.976161 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -72.976161 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -72.976161 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -72.976161 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -72.976161 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> Key: U: Unscaled Parameters; X: Back-transformed parameters; G: Gill difference gradient approximation
#> F: Forward difference gradient approximation
#> C: Central difference gradient approximation
#> M: Mixed forward and central difference gradient approximation
#> A: Analytic (forward sensitivity) gradient (fast=TRUE)
#> Unscaled parameters for Omegas=chol(solve(omega));
#> Diagonals are transformed, as specified by foceiControl(diagXform=)
#>
#> | #| Function Val. | add.sd | o1 |
#> |-----+---------------+-----------+-----------|
#> | 1| -72.976785 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 2| -72.976798 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 3| -72.976798 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 4| -72.976798 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 5| -72.976798 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 6| -72.976798 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 7| -72.976798 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 8| -72.976798 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> | 9| -72.976798 | -1.000 | 1.000 |
#> | U| | 0.3000 | 1.495 |
#> | X| | 0.3000 | 1.495 |
#> done
#> nn: joint training stopped at the round limit after 200 rounds
#> objective -72.98 | weight change 0.0012 | objf change 8.7e-06
#> rmse 1.819 -> 0.09472
#> (raise nnControl(rounds=) if the weights were still moving)
#> → Calculating residuals/tables
#> ✔ done
#> calculating covariance matrix
#> [====|====|====|====|====|====|====|====|====|====] 0:00:00
#> Updated original fit objectThat is the whole call: no nn= argument, and the data
was not touched. The result is an ordinary nlmixr2 fit, so
the random effect recovers the between-subject variation the way any eta
would:
To see what the network learned, evaluate it directly:
e <- nnEval(fit, centr = seq(0.5, 10, length.out = 25), eta.nn = 0)
head(e, 3)
#> nn() network 0 (tanh, 2 inputs) evaluated at 3 points
#> centr eta.nn value
#> 1 0.5000000 0 -1.047115
#> 2 0.8958333 0 -1.150657
#> 3 1.2916667 0 -1.246881plot(e) draws that function, and
plot(e, true = f) overlays a reference curve when you have
one.
The same idea with covariates as the inputs: the network learns how they drive a parameter, and the latent eta carries what they do not explain.
Systems-pharmacology models are often fitted with no random effects
at all: one mechanistic system, with a network standing in for an
unknown term. Fit those with a population optimizer —
"bobyqa", "nlminb", "lbfgsb3c"
and friends — and there is no eta to estimate.
rxode2::rxSetSeed(1)
set.seed(1)
qspTruth <- rxode2::rxode2("d/dt(centr) = -(2)*centr/(3+centr)")
qd <- do.call(rbind, lapply(1:6, function(id) {
s <- rxode2::rxSolve(qspTruth,
data.frame(id = id, time = c(0, .5, 1, 2, 4, 6, 8, 10),
evid = c(1, rep(0, 7)), cmt = 1, amt = c(10, rep(0, 7))),
returnType = "data.frame")
s <- s[s$time > 0, ]
data.frame(id = id, time = c(0, s$time), evid = c(1, rep(0, nrow(s))), cmt = 1,
amt = c(10, rep(0, nrow(s))), dv = c(NA, s$centr + rnorm(nrow(s), 0, .1)))
}))
qsp <- function() {
ini({ add.sd <- 0.3 }) # residual error only -- no eta
model({
g <- nn(centr, nHidden = 3, act = "tanh")
d/dt(centr) <- -(1 / (1 + exp(-g))) * centr
centr ~ add(add.sd)
})
}
qspFit <- nlmixr2est::nlmixr2(qsp, qd, "bobyqa")
#> ℹ parameter labels from comments are typically ignored in non-interactive mode
#> ℹ Need to run with the source intact to parse comments
#> [====|====|====|====|====|====|====|====|====|====] 0:00:00
#>
#> Key: U: Unscaled Parameters; X: Back-transformed parameters;
#>
#> | #| Function Val. | add.sd |
#> |-----+---------------+-----------|
#> | 1| -10.528246 | 1.000 |
#> | U| | 0.3000 |
#> | X| | 0.3000 |
#> | 2| -10.528246 | 1.000 |
#> | U| | 0.3000 |
#> | X| | 0.3000 |
#> | 3| -6.7756900 | 1.200 |
#> | U| | 0.3300 |
#> | X| | 0.3300 |
#> | 4| -14.614861 | 0.8000 |
#> | U| | 0.2700 |
#> | X| | 0.2700 |
#> | 5| -19.088479 | 0.6000 |
#> | U| | 0.2400 |
#> | X| | 0.2400 |
#> | 6| -29.417245 | 0.2000 |
#> | U| | 0.1800 |
#> | X| | 0.1800 |
#> | 7| -43.487997 | -0.6000 |
#> | U| | 0.06000 |
#> | X| | 0.06000 |
#> | 8| 38.725306 | -1.000 |
#> | U| | 0.000 |
#> | X| | 0.000 |
#> | 9| -42.826049 | -0.2473 |
#> | U| | 0.1129 |
#> | X| | 0.1129 |
#> | 10| -46.890505 | -0.4271 |
#> | U| | 0.08594 |
#> | X| | 0.08594 |
#>
#> | #| Function Val. | add.sd |
#> |-----+---------------+-----------|
#> | 11| -46.703420 | -0.4129 |
#> | U| | 0.08806 |
#> | X| | 0.08806 |
#> | 12| -47.038836 | -0.4412 |
#> | U| | 0.08382 |
#> | X| | 0.08382 |
#> | 13| -47.164160 | -0.4595 |
#> | U| | 0.08108 |
#> | X| | 0.08108 |
#> | 14| -47.174400 | -0.4619 |
#> | U| | 0.08072 |
#> | X| | 0.08072 |
#> | 15| -47.190240 | -0.4667 |
#> | U| | 0.08000 |
#> | X| | 0.08000 |
#> | 16| -47.199329 | -0.4712 |
#> | U| | 0.07932 |
#> | X| | 0.07932 |
#> | 17| -47.200278 | -0.4720 |
#> | U| | 0.07921 |
#> | X| | 0.07921 |
#> | 18| -47.201252 | -0.4730 |
#> | U| | 0.07906 |
#> | X| | 0.07906 |
#> | 19| -47.201928 | -0.4740 |
#> | U| | 0.07891 |
#> | X| | 0.07891 |
#> | 20| -47.202383 | -0.4759 |
#> | U| | 0.07862 |
#> | X| | 0.07862 |
#>
#> | #| Function Val. | add.sd |
#> |-----+---------------+-----------|
#> | 21| -47.202182 | -0.4769 |
#> | U| | 0.07847 |
#> | X| | 0.07847 |
#> | 22| -47.202386 | -0.4757 |
#> | U| | 0.07865 |
#> | X| | 0.07865 |
#> | 23| -47.202386 | -0.4757 |
#> | U| | 0.07865 |
#> | X| | 0.07865 |
#> |-----+---------------+-----------|
#> [====|====|====|====|====|====|====|====|====|====] 0:00:00
#>
#> nn: population (no-BSV) fit via bobyqa (native weight-reading solve)
#> → Calculating residuals/tables
#> ✔ doneThe fitted model reproduces the dynamics it was never told about:
nd <- data.frame(time = c(0, .5, 1, 2, 4, 6, 8, 10), evid = c(1, rep(0, 7)),
cmt = 1, amt = c(10, rep(0, 7)))
a <- rxode2::rxSolve(qspFit$finalUi, nd, returnType = "data.frame")
b <- rxode2::rxSolve(qspTruth, nd, returnType = "data.frame")
data.frame(time = a$time, fitted = round(a$centr, 2), true = round(b$centr, 2))
#> time fitted true
#> 1 0.5 9.21 9.24
#> 2 1.0 8.46 8.49
#> 3 2.0 7.06 7.05
#> 4 4.0 4.54 4.44
#> 5 6.0 2.38 2.35
#> 6 8.0 0.95 0.98
#> 7 10.0 0.30 0.32Passing a population-only optimizer for a model that does have a random effect is an error rather than a silent compromise — the weights and the Omega would otherwise come from two different objectives.
The trained weights are carried on the fitted model, so a saved fit is self-contained: it reloads and re-solves in a fresh session with no external state. Feeding a fit back in resumes from its trained weights.
The training schedule is inferred from the model, the data and the
estimator you chose: whether the estimator can resume from a partial
fit, whether there is a random effect, and what the residual model is.
nnControl() overrides any part of it and leaves the rest
inferred.
| setting | inferred as | override when |
|---|---|---|
mode |
"joint" when the estimator resumes from a partial fit,
else "iter" |
you want fully converged inner fits each round |
rounds |
200 joint, 30 iterative, 60 population | training was still improving when it stopped |
cotangent |
the Gaussian closed form for an untransformed
add()/prop() endpoint, the distribution’s own
score for a count endpoint, the captured exact score otherwise |
rarely — a source the endpoint cannot support is an error, not a silent fallback |
lr, optimizer |
0.03 (0.01 on a refit), Adam | the objective oscillates or moves too slowly |
warmStart |
a population pre-fit, skipped when the model already carries trained weights | you want a longer or shorter pre-fit |
l2, smooth |
0 – no penalty on the weights or on curvature |
a fitted network looks wigglier than the data can justify (see below) |
kinetic |
0 |
the learned term is stiff, or the augmented solve is slow |
A network with more capacity than the data supports will invent structure — a covariate curve with sharp wiggles in it, or per-subject variation that should have gone to the random effect. It does this silently: the fit converges, the objective looks fine, and only the learned shape gives it away.
Two penalties are available for that, and they express different
preferences. l2 is an L2-norm penalty on the weights —
ridge regression, or weight decay in machine-learning terms — which
charges a weight for being far from zero and so prefers the flattest
network the data will allow. smooth is a roughness penalty
in the spline sense: it charges for the second derivative of
the network along each input, so a monotone slope is free and only the
wiggles are paid for. Put plainly, l2 asks the network to
be small and smooth asks it to be smooth, which is usually
what you want from a learned covariate relationship — a shape, not a
straight line and not an interpolation of the noise. Biases are never
penalized, and neither is a latent eta’s input column — the eta reaches
the model only through the network, so shrinking those weights would
shrink the random effect itself.
Both are a fraction of the objective, not an
absolute amount: l2 = 0.05 means the weight penalty starts
at 5% of the objective, so one value means roughly the same thing
whatever the endpoint, estimator or data size.
fit <- nlmixr2est::nlmixr2(ude, d, "focei", nn = nnControl(l2 = 0.05))
plot(nnEval(fit, centr = seq(0, 10, length.out = 101)))Both default to 0. That is a measured
choice, not a cautious one. l2 shrinks the network toward
the zero function, and in these models the network is the model
— so any value large enough to suppress structure the data does not
support is also large enough to attenuate structure it does. On the
package’s own recovery tests, every value from 1e-3 up cost
a real covariate effect, and every value that preserved them moved the
weight norm by less than half a percent.
So reach for it deliberately, when a fitted curve looks wigglier than
the data can justify. l2 = 0.05 is where shrinkage becomes
substantial — on a test fixture with no true covariate effect it took
the weight norm from 11.5 to 3.9 while the unpenalized objective
improved. Always look at what the network learned with
nnEval() afterwards rather than trusting the objective
alone: real effects shrink alongside invented ones.
A third penalty, kinetic, asks a different question.
l2 and smooth are about the shape of
the learned function; kinetic is about the
dynamics it produces. It charges for the network’s output along
the trajectory the model actually solves — how hard the network is
pushing where the solution really goes, rather than on a grid of input
combinations that may never occur — and so asks the model to reach the
same data by pushing less hard.
That makes the learned dynamics easier to integrate, so it can make a
fit faster as well as smoother — which matters here because the
training solve carries a sensitivity state for every state-weight pair,
so every solver step saved is multiplied. It defaults to 0
for a reason of its own on top of the one above: it is the only one of
the three that changes the dynamics being solved rather than only
steering the optimizer.
kinetic is a fraction of the objective too, though in a
weaker sense than l2 and smooth:
kinetic = 0.05 charges 5% of the objective per unit of the
term, rather than starting at exactly 5% of it. The difference is
deliberate and vignette("nlmixr2nn-node") explains it —
briefly, the default initialization starts the network near the zero
function on purpose, so normalizing this term against its own starting
value would divide by something four orders of magnitude too small.
All three shape the optimization only. The reported objf
— and so AIC and BIC — stays the unpenalized -2 log-likelihood, so a
regularized network model is still directly comparable to one with an
analytic covariate relationship. vignette("nlmixr2nn-node")
covers where kinetic comes from and which other ideas from
the neural ODE literature do and do not carry over to a model like this
one.
Inputs: 1 to 4, given positionally — states, covariates, or a latent eta.
Activations: "softplus" (default),
"tanh", "relu", "gelu",
"silu". The default is smooth with a nonzero second
derivative, which matters because the model Jacobian and the FOCEi
sensitivities are chained through it.
Hidden layers: one. nHidden is a
single width.
Endpoints: one. Any normal-distribution residual
model — add(), prop(), both, or a
transformation such as lnorm() — and the count endpoints
pois() and binom().
A count endpoint differs in one way worth knowing. For
y ~ pois(lam) there is no “prediction” to differentiate:
the model’s prediction is the log-density, so the network’s
effect is chained through the distribution’s own parameter
(lam) instead, and the score is that distribution’s
derivative. Two consequences:
nnControl(cotangent = "exact") does not apply and is
refused, and the parameter must be positive by
construction — write lam <- exp(nn(...)) rather
than letting a rate wander negative, which aborts the likelihood
evaluation. For binom(n, p) the network drives
p; the size n must reach the solve, so bind it
to a data column (n <- ntrials) rather than writing a
bare constant, which the model compiler folds away.
Other distributions (nbinom(), ordinal, and the rest)
are refused with a message naming the reason, not fitted
wrongly.
Networks per model: several; they are trained
together, and nnEval(net=) selects between them.
Estimators: any standard one.
"focei", the Laplace/AGQ methods, the importance-sampling
methods ("imp", "impmap") and the variational
methods interleave network training with the population fit, because
their outer iteration genuinely resumes from where it left off. SAEM
("saem", "fsaem"), "qrpem" and
the nonparametric methods ("npag", "npb")
alternate instead: SAEM’s stochastic-approximation gain sequence
restarts on every call, so chopping it into pieces would not continue
the chain.
Network initialization is scaled to each input’s magnitude, measured from the data, so a network reading a concentration of 0.02 and one reading an amount of 500 both start in a usable range.