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, Rmpfr interfaces to the LGPL'ed MPFR (Multiple Precision Floating-Point Reliable) Library which itself is based on the GMP (GNU Multiple Precision) Library.

Version: 0.6-1
Depends: gmp (≥ 0.5-8), R (≥ 3.0.1)
Imports: stats, utils, methods
Suggests: MASS, polynom, sfsmisc (≥ 1.0-20), Matrix
Published: 2016-11-15
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
Acccurately Computing log(1 - exp(.)) – Assessed by Rmpfr
Package source: Rmpfr_0.6-1.tar.gz
Windows binaries: r-devel: Rmpfr_0.6-1.zip, r-release: Rmpfr_0.6-1.zip, r-oldrel: Rmpfr_0.6-1.zip
OS X El Capitan binaries: r-release: Rmpfr_0.6-1.tgz
OS X Mavericks binaries: r-oldrel: Rmpfr_0.6-1.tgz
Old sources: Rmpfr archive

Reverse dependencies:

Reverse depends: Bessel, correlbinom, CryptRndTest, frmqa, LDOD, LIHNPSD, MixedPoisson
Reverse imports: corHMM, downscale, ecd, GJRM, HH, ldatuning, NetworkChange, OUwie, SNscan
Reverse suggests: copula, expm, gmp, IMIFA, POUMM, QuACN, selectiveInference, stabledist


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