r-cran-rcppgsl 0.3.7-1build2 source package in Ubuntu


r-cran-rcppgsl (0.3.7-1build2) groovy; urgency=medium

  * No-change rebuild against libgsl25

 -- Graham Inggs <email address hidden>  Thu, 07 May 2020 22:24:04 +0000

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Uploaded by:
Graham Inggs
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Original maintainer:
Dirk Eddelbuettel
Medium Urgency

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File Size SHA-256 Checksum
r-cran-rcppgsl_0.3.7.orig.tar.gz 453.1 KiB 45e95c4170fc8421ae9b32134b3a402f76ea9657030969723a3563c7ce14dc32
r-cran-rcppgsl_0.3.7-1build2.debian.tar.xz 2.7 KiB 5ff355d8eabbd99bb4d07814ace5361bf3da41803c0c8f518f7136e63b722a1b
r-cran-rcppgsl_0.3.7-1build2.dsc 1.9 KiB 0c7abcf35c0867f0196b71fb359534a83c94d5311ec7e7e067f1f80bc61eb590

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Binary packages built by this source

r-cran-rcppgsl: GNU R package for integration with the GNU GSL

 The 'GNU Scientific Library' (or 'GSL') is a collection of numerical
 routines for scientific computing. It is particularly useful for C
 and C++ programs as it provides a standard C interface to a wide
 range of mathematical routines such as special functions,
 permutations, combinations, fast fourier transforms, eigensystems,
 random numbers, quadrature, random distributions, quasi-random
 sequences, Monte Carlo integration, N-tuples, differential equations,
 simulated annealing, numerical differentiation, interpolation, series
 acceleration, Chebyshev approximations, root-finding, discrete Hankel
 transforms physical constants, basis splines and wavelets. There are
 over 1000 functions in total with an extensive test suite.
 The 'RcppGSL' package provides an easy-to-use interface between 'GSL'
 data structures and R using concepts from 'Rcpp' which is itself a
 package that eases the interfaces between R and C++.
 This package also serves as a prime example of how to build a package
 that uses 'Rcpp' to connect to another third-party library. The
 'autoconf' script, 'inline' plugin and example package can all be
 used as a stanza to write a similar package against another library.

r-cran-rcppgsl-dbgsym: debug symbols for r-cran-rcppgsl