SystemRequirements: gmp (>= 4.2.3), mpfr (>= 3.0.0)
SystemReqsNotes: MPFR (MP Floating-Point Reliable Library,

SuggestNotes: MASS, polynom, sfsmisc are only needed for vignette

Suggests: MASS, polynom, sfsmisc (>= 1.0-20)

Description: Rmpfr provides (S4 classes and methods for) arithmetic

Description: Rmpfr provides (S4 classes and methods for)

SystemRequirementsNote: MPFR (MP Floating-Point Reliable Library,
SuggestsNote: MASS, polynom, sfsmisc are only needed for vignette

Suggests: MASS, polynom, sfsmisc (>= 1.0-20), Matrix
SuggestsNote: MASS, polynom, sfsmisc: only for vignette; Matrix:

DateNote: Previous CRAN version 0.5-7 on 2014-11-27
Description: Arithmetic (via S4 classes and methods) for
arbitrary precision floating point numbers, including transcendental
("special") functions.  To this end, Rmpfr interfaces to

DateNote: Previous CRAN version 0.6-0 on 2015-12-04

DateNote: Previous CRAN version 0.6-1 on 2016-11-15
SystemRequirementsNote: 'MPFR' (MP Floating-Point Reliable Library,
http://mpfr.org/) and 'GMP' (GNU Multiple Precision library,
("special") functions.  To this end, the package interfaces to
the 'LGPL' licensed 'MPFR' (Multiple Precision Floating-Point Reliable) Library
which itself is based on the 'GMP' (GNU Multiple Precision) Library.

DateNote: Previous CRAN version 0.7-0 on 2018-01-12

DateNote: Previous CRAN version 0.7-1 on 2018-07-24
Suggests: MASS, Bessel, polynom, sfsmisc (>= 1.0-20), Matrix

DateNote: Previous CRAN version 0.7-2 on 2019-01-18
Authors@R: c(person("Martin","Maechler", role = c("aut","cre"),
email = "maechler@stat.math.ethz.ch", comment = c(ORCID="0000-0002-8685-9910"))
, person(c("Richard", "M."), "Heiberger", role = "ctb", email="rmh@temple.edu",
Richard M. Heiberger [ctb] (formatHex(), *Bin, *Dec)

Title: Interface (Wrapper) to MPI (Message-Passing Interface)
Description: Rmpi provides an interface (wrapper) to MPI APIs. It also
provides interactive R slave functionalities to make MPI
programming easier in R than in C(++) or Fortran.

provides interactive R slave environment in which
distributed statistical computing can be carried out.