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Installation and Reference of the R package 'Rmpfr'

Installation is non-trivial if you install from _source because of the SystemRequirements (listed in ./DESCRIPTION):

The package Rmpfr interfaces R to the C Library MPFR:

MPFR, the "Multiple Precision Floating-Point Reliably" library

which is Free/Libre Software, available under the LGPL license. MPFR Website

MPFR itself is built on and requires the GMP library

GNU Multiple Precision arithmetic library (GMP)

Obtain that from GMP Website or from your operating system vendor / package system:

+ Under _Debian_, _Ubuntu_ (and other Debian derivative) Linux distributions,
  it is sufficient (for *both* libraries) to simply do
  sudo apt-get install libmpfr-dev
+ In Fedora, Redhat, CentOS, opensuse, etc, you get these via
  sudo dnf install mpfr-devel

The standard reference to MPFR is

@article{FouLHLPZ-2007,
 author = {Laurent Fousse and Guillaume Hanrot and Vincent Lef\`{e}vre and
 	   Patrick P\'{e}lissier and Paul Zimmermann},
 title = {MPFR: A multiple-precision binary floating-point library with
          correct rounding},
 year = {2007},
 journal = {ACM Trans. Math. Softw.},
 volume = {33},
 number = {2},
 issn = {0098-3500},
 pages = {13},
 doi = {http://doi.acm.org/10.1145/1236463.1236468},
 publisher = {ACM},
 address = {New York, NY, USA},
}

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Version

Install

install.packages('Rmpfr')

Monthly Downloads

44,779

Version

0.7-1

License

GPL (>= 2)

Maintainer

Martin Maechler

Last Published

July 30th, 2018

Functions in Rmpfr (0.7-1)

pmax

Parallel Maxima and Minima
formatMpfr

Formatting MPFR (multiprecision) Numbers
roundMpfr

Rounding to Binary bits, "mpfr-internally"
array_or_vector-class

Auxiliary Class "array\_or\_vector"
asNumeric-methods

Methods for asNumeric(<mpfr>)
gmp-conversions

Conversion Utilities gmp <-> Rmpfr
hjkMpfr

Hooke-Jeeves Derivative-Free Minimization R (working for MPFR)
atomicVector-class

Virtual Class "atomicVector" of Atomic Vectors
seqMpfr

"mpfr" Sequence Generation
mpfr-special-functions

Special Mathematical Functions (MPFR)
Rmpfr-workarounds

Base Functions etc, as an Rmpfr version
Mnumber-class

Class "Mnumber" and "mNumber" of "mpfr" and regular numbers and arrays from them
mpfr-distr-etc

Distribution Functions etc (MPFR)
Rmpfr-package

R MPFR - Multiple Precision Floating-Point Reliable
mpfr-class

Class "mpfr" of Multiple Precision Floating Point Numbers
factorialMpfr

Factorial 'n!' in Arbitrary Precision
mpfr-utils

Rmpfr -- Utilities for Precision Setting, Printing, etc
optimizeR

High Precisione One-Dimensional Optimization
mpfr

Create "mpfr" Numbers (Objects)
mpfrArray

Construct "mpfrArray" almost as by 'array()'
mpfrMatrix

Classes "mpfrMatrix" and "mpfrArray"
pbetaI

Accurate Incomplete Beta / Beta Probabilities For Integer Shapes
mpfrMatrix-utils

Functions for mpfrMatrix Objects
unirootR

One Dimensional Root (Zero) Finding -- in pure R
mpfr.utils

MPFR Number Utilities
bind-methods

"mpfr" '...' - Methods for Functions cbind(), rbind()
str.mpfr

Compactly Show STRucture of Rmpfr Number Object
chooseMpfr

Binomial Coefficients and Pochhammer Symbol aka Rising Factorial
sumBinomMpfr

(Alternating) Binomial Sums via Rmpfr
integrateR

One-Dimensional Numerical Integration - in pure R
is.whole

Whole ("Integer") Numbers
Bessel_mpfr

Bessel functions of Integer Order in multiple precisions
Bernoulli

Bernoulli Numbers in Arbitrary Precision
formatHex

Flexibly Format Numbers in Binary, Hex and Decimal Format