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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

38,749

Version

0.7-0

License

GPL (>= 2)

Maintainer

Martin Maechler

Last Published

January 13th, 2018

Functions in Rmpfr (0.7-0)

array_or_vector-class

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

Methods for asNumeric(<mpfr>)
atomicVector-class

Virtual Class "atomicVector" of Atomic Vectors
bind-methods

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

Binomial Coefficients and Pochhammer Symbol aka Rising Factorial
mpfr-distr-etc

Distribution Functions etc (MPFR)
Mnumber-class

Class "Mnumber" and "mNumber" of "mpfr" and regular numbers and arrays from them
Rmpfr-package

R MPFR - Multiple Precision Floating-Point Reliable
Bernoulli

Bernoulli Numbers in Arbitrary Precision
Bessel_mpfr

Bessel functions of Integer Order in multiple precisions
is.whole

Whole ("Integer") Numbers
formatMpfr

Formatting MPFR (multiprecision) Numbers
factorialMpfr

Factorial 'n!' in Arbitrary Precision
mpfr-class

Class "mpfr" of Multiple Precision Floating Point Numbers
mpfr-utils

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

Create "mpfr" Numbers (Objects)
hjkMpfr

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

One-Dimensional Numerical Integration - in pure R
mpfrArray

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

Classes "mpfrMatrix" and "mpfrArray"
formatHex

Flexibly Format Numbers in Binary, Hex and Decimal Format
pbetaI

Accurate Incomplete Beta / Beta Probabilities For Integer Shapes
pmax

Parallel Maxima and Minima
mpfr-special-functions

Special Mathematical Functions (MPFR)
str.mpfr

Compactly Show STRucture of Rmpfr Number Object
sumBinomMpfr

(Alternating) Binomial Sums via Rmpfr
gmp-conversions

Conversion Utilities gmp <-> Rmpfr
roundMpfr

Rounding to Binary bits, "mpfr-internally"
seqMpfr

"mpfr" Sequence Generation
unirootR

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

Functions for mpfrMatrix Objects
optimizeR

High Precisione One-Dimensional Optimization
mpfr.utils

MPFR Number Utilities