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bignum: Arbitrary-Precision Integer and Floating-Point Mathematics

Classes for storing and manipulating arbitrary-precision integer vectors and high-precision floating-point vectors. These extend the range and precision of the 'integer' and 'double' data types found in R. This package utilizes the 'Boost.Multiprecision' C++ library. It is specifically designed to work well with the 'tidyverse' collection of R packages.

Version: 0.3.2
Depends: R (≥ 3.3.0)
Imports: rlang, vctrs (≥ 0.3.0)
LinkingTo: BH, cpp11
Suggests: knitr, pillar (≥ 1.6.3), rmarkdown, testthat
Published: 2023-05-04
DOI: 10.32614/CRAN.package.bignum
Author: David Hall ORCID iD [aut, cre, cph]
Maintainer: David Hall <david.hall.physics at gmail.com>
BugReports: https://github.com/davidchall/bignum/issues
License: MIT + file LICENSE
URL: https://davidchall.github.io/bignum/, https://github.com/davidchall/bignum
NeedsCompilation: yes
Materials: README NEWS
In views: NumericalMathematics
CRAN checks: bignum results

Documentation:

Reference manual: bignum.pdf
Vignettes: Control the displayed precision
Hierarchy of data types

Downloads:

Package source: bignum_0.3.2.tar.gz
Windows binaries: r-devel: bignum_0.3.2.zip, r-release: bignum_0.3.2.zip, r-oldrel: bignum_0.3.2.zip
macOS binaries: r-release (arm64): bignum_0.3.2.tgz, r-oldrel (arm64): bignum_0.3.2.tgz, r-release (x86_64): bignum_0.3.2.tgz, r-oldrel (x86_64): bignum_0.3.2.tgz
Old sources: bignum archive

Reverse dependencies:

Reverse suggests: ipaddress

Linking:

Please use the canonical form https://CRAN.R-project.org/package=bignum 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.