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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

1.1-0

License

GPL (>= 2)

Maintainer

Martin Maechler

Last Published

May 13th, 2025

Functions in Rmpfr (1.1-0)

bind-methods

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

Binomial Coefficients and Pochhammer Symbol aka Rising Factorial
Mnumber-class

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

Bessel functions of Integer Order in multiple precisions
Rmpfr-package

R MPFR - Multiple Precision Floating-Point Reliable
gmp-conversions

Conversion Utilities gmp <-> Rmpfr
frexpMpfr

Base-2 Representation and Multiplication of Mpfr Numbers
array_or_vector-class

Auxiliary Class "array_or_vector"
asNumeric-methods

Methods for asNumeric(<mpfr>)
hjkMpfr

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

Incomplete Gamma Function
factorialMpfr

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

Distribution Functions with MPFR Arithmetic
integrateR

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

Whole ("Integer") Numbers
num2bigq

BigQ / BigRational Approximation of Numbers
log1mexp

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

Classes "mpfrMatrix" and "mpfrArray"
matmult

(MPFR) Matrix (Vector) Multiplication
mpfrMatrix-utils

Functions for mpfrMatrix Objects
mpfr-class

Class "mpfr" of Multiple Precision Floating Point Numbers
formatHex

Flexibly Format Numbers in Binary, Hex and Decimal Format
mpfr-utils

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

Formatting MPFR (multiprecision) Numbers
optimizeR

High Precision One-Dimensional Optimization
roundMpfr

Rounding to Binary bits, "mpfr-internally"
pbetaI

Accurate Incomplete Beta / Beta Probabilities For Integer Shapes
pmax

Parallel Maxima and Minima
qnormI

Gaussian / Normal Quantiles qnorm() via Inversion
unirootR

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

(Alternating) Binomial Sums via Rmpfr
seqMpfr

"mpfr" Sequence Generation
sapplyMpfr

Apply a Function over a "mpfr" Vector
mpfr

Create "mpfr" Numbers (Objects)
mpfr-special-functions

Special Mathematical Functions (MPFR)
str.mpfr

Compactly Show STRucture of Rmpfr Number Object
mpfr.utils

MPFR Number Utilities
mpfrArray

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

Bernoulli Numbers in Arbitrary Precision
Rmpfr-workarounds

Base Functions etc, as an Rmpfr version
atomicVector-class

Virtual Class "atomicVector" of Atomic Vectors