Package: PreciseSums
Title: Accurate Floating Point Sums and Products
Version: 0.7
Authors@R: c(person("Matthew","Fidler",
      role = c("aut","cre","cph"), email = "matthew.fidler@gmail.com"),
      person("Raymond","Hettinger",role=c("cph","aut")),
      person("Jonathan", "Shewchuk",role=c("cph","aut")),
      person("Julian", "Taylor",role=c("cph","aut")),
      person("Nathaniel", "Smith",role=c("cph","aut")),
      person("NumPy Team", role="cph"),
      person("Python Team", role="cph")
   )
Description: Most of the time floating point arithmetic does
        approximately the right thing.  When adding sums or having
        products of numbers that greatly differ in magnitude, the
        floating point arithmetic may be incorrect.  This package
        implements the Kahan (1965) sum <doi:10.1145/363707.363723>,
        Neumaier (1974) sum <doi:10.1002/zamm.19740540106>,
        pairwise-sum (adapted from 'NumPy', See Castaldo (2008)
        <doi:10.1137/070679946> for a discussion of accuracy), and
        arbitrary precision sum (adapted from the fsum in 'Python' ;
        Shewchuk (1997)
        <https://people.eecs.berkeley.edu/~jrs/papers/robustr.pdf>). In
        addition, products are changed to long double precision for
        accuracy, or changed into a log-sum for accuracy.
Depends: R (>= 3.2)
License: GPL (>= 2)
Encoding: UTF-8
RoxygenNote: 7.3.2
Suggests: testthat
BugReports: https://github.com/nlmixr2/PreciseSums/issues/
URL: https://github.com/nlmixr2/PreciseSums
Repository: https://nlmixr2.r-universe.dev
Date/Publication: 2024-09-17 21:38:56 UTC
RemoteUrl: https://github.com/nlmixr2/PreciseSums
RemoteRef: HEAD
RemoteSha: 2f3c623a3c58db011ef71dc76cbca0037c4af570
NeedsCompilation: yes
Packaged: 2026-06-24 02:28:57 UTC; root
Author: Matthew Fidler [aut, cre, cph],
  Raymond Hettinger [cph, aut],
  Jonathan Shewchuk [cph, aut],
  Julian Taylor [cph, aut],
  Nathaniel Smith [cph, aut],
  NumPy Team [cph],
  Python Team [cph]
Maintainer: Matthew Fidler <matthew.fidler@gmail.com>