Package: nlmixr2targets 0.1.0.9000

Bill Denney

nlmixr2targets: Targets for 'nlmixr2' Pipelines

'nlmixr2' often has long runtimes. A pipeline toolkit tailored to 'nlmixr2' workflows leverages 'targets' and 'nlmixr2' to ease reproducible workflows. 'nlmixr2targets' ensures minimal rework in model development with 'nlmixr2' and 'targets' by simplifying and standardizing models and datasets.

Authors:Bill Denney [aut, cre]

nlmixr2targets_0.1.0.9000.tar.gz
nlmixr2targets_0.1.0.9000.zip(r-4.7)nlmixr2targets_0.1.0.9000.zip(r-4.6)nlmixr2targets_0.1.0.9000.zip(r-4.5)
nlmixr2targets_0.1.0.9000.tgz(r-4.6-any)nlmixr2targets_0.1.0.9000.tgz(r-4.5-any)
nlmixr2targets_0.1.0.9000.tar.gz(r-4.7-any)nlmixr2targets_0.1.0.9000.tar.gz(r-4.6-any)
nlmixr2targets_0.1.0.9000.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
nlmixr2targets/json (API)

# Install 'nlmixr2targets' in R:
install.packages('nlmixr2targets', repos = c('https://nlmixr2.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/nlmixr2/nlmixr2targets/issues

Pkgdown/docs site:https://nlmixr2.github.io

On CRAN:

Conda:

4.90 score 9 scripts 409 downloads 11 exports 76 dependencies

Last updated from:7b21d13048. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK228
source / vignettesOK275
linux-release-x86_64OK194
macos-release-arm64OK114
macos-oldrel-arm64OK142
windows-develOK161
windows-releaseOK155
windows-oldrelOK135
wasm-releaseOK184

Exports:assign_origDatanlmixr_data_simplifynlmixr_object_complicatenlmixr_object_simplifynlmixr_object_zero_initial_evalnlmixr2_indirectnlmixr2targets_cache_prunenlmixr2targets_cache_statustar_nlmixrtar_nlmixr_multimodeltar_nlmixr_raw

Dependencies:armadillo4rbackportsbase64urlBHcachemcallrcheckmateclicodetoolscpp11cpp4rcrayondata.tabledigestdparserevaluatefarverfastmapggplot2gluegtablehighrigraphinlineisobandknitrlabelinglatticelbfgsb3clifecyclelotrimagrittrMatrixmemoiseminqan1qn1nlmenlmixr2datanlmixr2estnumDerivotelpillarpkgconfigPreciseSumsprettyunitsprocessxpsqs2R6RColorBrewerRcppRcppArmadilloRcppEigenRcppParallelrexrlangrxode2rxode2llS7scalessecretbasesitmoStanHeadersstringfishsundialrsymenginesystargetstibbletidyselectutf8vctrsviridisLitewithrxfunyaml

Estimating nlmixr2 models with 'nlmixr2targets'
Introduction to nlmixr2targets | Initial conditions | Running one model with one dataset (tar_nlmixr()) | Running multiple models with one dataset (tar_nlmixr_multimodel()) | Model piping for multiple models estimated with one dataset | Continuing the pipeline when a model fails
Rendered fromestimating.Rmdusingknitr::rmarkdown

Last update: 2026-06-16
Started: 2024-03-08

Caching strategy and reruns
What triggers a re-fit? | Examples of common edits | Inspecting and pruning the indirect cache | tar_outdated() is a quick way to preview what would rerun
Rendered fromcaching.Rmdusingknitr::rmarkdown

Last update: 2026-06-13
Started: 2026-06-13

Initial conditions cheatsheet
Two forms accepted inside nlmixr2targets | What tar_nlmixr() does behind the scenes | Pipe forms | Known limitation: env functions never routed through tar_nlmixr() | Summary
Rendered frominitial-conditions.Rmdusingknitr::rmarkdown

Last update: 2026-06-13
Started: 2026-06-13

Multimodel comparison workflows
Why a dedicated multimodel factory? | Minimal comparison plan | Extracting parameter estimates across models | Within-list piping for nested edits | Tips for large model libraries
Rendered frommultimodel-comparison.Rmdusingknitr::rmarkdown

Last update: 2026-06-13
Started: 2026-06-13