Dear R-packages/R-help subscribers,
Just writing to advertise that R package 'flint', interfacing the FLINT
C library for number theory, is now available on CRAN.
https://cran.r-project.org/package=flint
https://github.com/jaganmn/flint
https://flintlib.org/
Thanks very much to the CRAN Team for its early guidance and clear documentation
on the correct approach to adding external libraries to the CRAN check servers:
https://cran.r-project.org/web/packages/external_libs.html
I copy the R package description here and add some comments below for early
users.
Description:
An R interface to 'FLINT' <https://flintlib.org/>, a C library for
number theory. 'FLINT' extends GNU 'MPFR' <https://www.mpfr.org/>
and GNU 'MP' <https://gmplib.org/> with support for arithmetic in
standard rings (the integers, the integers modulo n, the rational,
p-adic, real, and complex numbers) as well as vectors, matrices,
polynomials, and power series over rings. 'FLINT' implements
midpoint-radius interval arithmetic, also known as ball arithmetic,
in the real and complex numbers, enabling computation in arbitrary
precision with rigorous propagation of errors; see Johansson (2017)
<doi:10.1109/TC.2017.2690633>. Finally, 'FLINT' provides ball
arithmetic implementations of many special mathematical functions,
with high coverage of reference works such as the NIST Digital
Library of Mathematical Functions <https://dlmf.nist.gov/>. The R
interface defines S4 classes, generic functions, and methods for
representation and basic operations as well as plain R functions
mirroring and vectorizing entry points in the C library.
Comments:
* The C library is expansive:
https://flintlib.org/doc/
The R package makes no attempt to interface every C entry point. Rather,
users wanting an R interface to a C entry point are encouraged to file an
issue requesting an implementation. In this way, the interface will grow
organically and "as needed" by the community of R users.
* Of particular interest to applied mathematicians and statisticians will
be special mathematical functions of real and complex arguments not
previously supported by R or any R package available on CRAN (or, where
supported, not defined over the complex numbers, to arbitrary precision,
or beyond the radius of convergence of a power series representation).
Use
help.search(package = "flint", keyword = "math")
to get an index of special mathematical functions currently interfaced.
At the moment, this list excludes the (inverse) trigonometric, (inverse)
hyperbolic, logarithmic, exponential, and other functions for which
R provides S4 group generic functions 'Math', 'Math2', and 'Complex',
for which the R package provides *methods* rather than plain R functions.
* The interface to traditional number theoretic functionality (concerning
integers, the integers modulo n, polynomials over the integers, ...) is
small right now. I don't personally have use for it. But it can be
expanded, again by request of users.
* Installation from sources depends on FLINT, GNU MPFR, and GNU MP headers
and libraries. Use your operating system's package manager to install
these ...
$ pacman -S flint
$ apt install libflint-dev
$ dnf install flint-devel
$ pkg install flint
$ port install flint
$ brew install flint
... unless ...
(1) The repositories provide a too old (< 3.0.0) version of FLINT, in
which case consider building FLINT from a recent (>= 3.0.0) source
tarball obtained here:
https://github.com/flintlib/flint/releases
(2) You use Windows and obtained R from CRAN, in which case use the
headers and libraries from a recent enough Rtools (>= Rtools44 r6414)
https://cran.r-project.org/bin/windows/Rtools/
https://cran.r-project.org/bin/windows/Rtools/rtools44/news.html
choosing the Rtools installer built for your architecture (x86_64 or
aarch64).
(3) You use macOS and obtained R from CRAN, in which case install the
macOS binaries (for flint, mpfr, and gmp) maintained by Simon Urbanek
https://mac.r-project.org/bin/
https://mac.r-project.org/bin/darwin20/x86_64/
https://mac.r-project.org/bin/darwin20/arm64/
choosing the binaries built for your architecture (x86_64 or arm64).
Comments from early users are very much welcome and appreciated.
Mikael
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