Rmpfr: R MPFR - Multiple Precision Floating-Point Reliable

Arithmetic (via S4 classes and methods) for arbitrary precision floating point numbers, including transcendental ("special") functions. To this end, the package interfaces to the 'LGPL' licensed 'MPFR' (Multiple Precision Floating-Point Reliable) Library which itself is based on the 'GMP' (GNU Multiple Precision) Library.

Version: 0.7-1
Depends: gmp (≥ 0.5-8), R (≥ 3.3.0)
Imports: stats, utils, methods
Suggests: MASS, polynom, sfsmisc (≥ 1.0-20), Matrix
Published: 2018-07-30
Author: Martin Maechler
Maintainer: Martin Maechler <maechler at stat.math.ethz.ch>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: http://rmpfr.r-forge.r-project.org/
NeedsCompilation: yes
SystemRequirements: gmp (>= 4.2.3), mpfr (>= 3.0.0)
Materials: README NEWS ChangeLog
In views: NumericalMathematics
CRAN checks: Rmpfr results


Reference manual: Rmpfr.pdf
Vignettes: useR-2011-abstract
Arbitrarily Accurate Computation with R Package Rmpfr
Accurately Computing log(1 - exp(.)) – Assessed by Rmpfr
Package source: Rmpfr_0.7-1.tar.gz
Windows binaries: r-devel: Rmpfr_0.7-1.zip, r-release: Rmpfr_0.7-1.zip, r-oldrel: Rmpfr_0.7-1.zip
OS X binaries: r-release: Rmpfr_0.7-1.tgz, r-oldrel: Rmpfr_0.7-1.tgz
Old sources: Rmpfr archive

Reverse dependencies:

Reverse depends: Bessel, correlbinom, CryptRndTest, frmqa, GeDS, LDOD, LIHNPSD, MixedPoisson
Reverse imports: corHMM, crossrun, CVXR, downscale, ecd, ether, GJRM, HH, ldatuning, NetworkChange, OUwie, PMCMRplus, SNscan, WeMix
Reverse suggests: alphastable, bnlearn, copula, expm, gmp, IMIFA, QuACN, selectiveInference, stabledist, updog


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