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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

36,274

Version

0.8-5

License

GPL (>= 2)

Maintainer

Martin Maechler

Last Published

October 6th, 2021

Functions in Rmpfr (0.8-5)

Bernoulli

Bernoulli Numbers in Arbitrary Precision
array_or_vector-class

Auxiliary Class "array\_or\_vector"
Bessel_mpfr

Bessel functions of Integer Order in multiple precisions
asNumeric-methods

Methods for asNumeric(<mpfr>)
Rmpfr-package

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

Class "Mnumber" and "mNumber" of "mpfr" and regular numbers and arrays from them
chooseMpfr

Binomial Coefficients and Pochhammer Symbol aka Rising Factorial
bind-methods

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

One-Dimensional Numerical Integration - in pure R
atomicVector-class

Virtual Class "atomicVector" of Atomic Vectors
Rmpfr-workarounds

Base Functions etc, as an Rmpfr version
hjkMpfr

Hooke-Jeeves Derivative-Free Minimization R (working for MPFR)
is.whole

Whole ("Integer") Numbers
formatMpfr

Formatting MPFR (multiprecision) Numbers
formatHex

Flexibly Format Numbers in Binary, Hex and Decimal Format
factorialMpfr

Factorial 'n!' in Arbitrary Precision
mpfr-distr-etc

Distribution Functions etc (MPFR)
igamma

Incomplete Gamma Function
mpfrArray

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

Create "mpfr" Numbers (Objects)
optimizeR

High Precision One-Dimensional Optimization
pbetaI

Accurate Incomplete Beta / Beta Probabilities For Integer Shapes
matmult

(MPFR) Matrix (Vector) Multiplication
log1mexp

Compute f(a) = \(\mathrm{log}\)(1 +/- \(\mathrm{exp}\)(-a)) Numerically Optimally
roundMpfr

Rounding to Binary bits, "mpfr-internally"
pmax

Parallel Maxima and Minima
unirootR

One Dimensional Root (Zero) Finding -- in pure R
sumBinomMpfr

(Alternating) Binomial Sums via Rmpfr
gmp-conversions

Conversion Utilities gmp <-> Rmpfr
frexpMpfr

Base-2 Representation and Multiplication of Mpfr Numbers
mpfrMatrix-utils

Functions for mpfrMatrix Objects
sapplyMpfr

Apply a Function over a "mpfr" Vector
seqMpfr

"mpfr" Sequence Generation
mpfrMatrix

Classes "mpfrMatrix" and "mpfrArray"
str.mpfr

Compactly Show STRucture of Rmpfr Number Object
mpfr-special-functions

Special Mathematical Functions (MPFR)
mpfr-class

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

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

MPFR Number Utilities