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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.
Version: | 0.7 |
Depends: | R (≥ 3.2) |
Suggests: | testthat |
Published: | 2024-09-17 |
DOI: | 10.32614/CRAN.package.PreciseSums |
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 at gmail.com> |
BugReports: | https://github.com/nlmixr2/PreciseSums/issues/ |
License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
URL: | https://github.com/nlmixr2/PreciseSums |
NeedsCompilation: | yes |
Materials: | NEWS |
CRAN checks: | PreciseSums results |
Reference manual: | PreciseSums.pdf |
Package source: | PreciseSums_0.7.tar.gz |
Windows binaries: | r-devel: PreciseSums_0.7.zip, r-release: PreciseSums_0.7.zip, r-oldrel: PreciseSums_0.7.zip |
macOS binaries: | r-release (arm64): PreciseSums_0.7.tgz, r-oldrel (arm64): PreciseSums_0.7.tgz, r-release (x86_64): PreciseSums_0.7.tgz, r-oldrel (x86_64): PreciseSums_0.7.tgz |
Old sources: | PreciseSums archive |
Reverse imports: | ciuupi2, rxode2 |
Reverse linking to: | rxode2 |
Please use the canonical form https://CRAN.R-project.org/package=PreciseSums to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.