How to Install and Uninstall r-cran-rcppgsl Package on Ubuntu 20.10 (Groovy Gorilla)
Last updated: November 07,2024
1. Install "r-cran-rcppgsl" package
This guide covers the steps necessary to install r-cran-rcppgsl on Ubuntu 20.10 (Groovy Gorilla)
$
sudo apt update
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$
sudo apt install
r-cran-rcppgsl
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2. Uninstall "r-cran-rcppgsl" package
This is a short guide on how to uninstall r-cran-rcppgsl on Ubuntu 20.10 (Groovy Gorilla):
$
sudo apt remove
r-cran-rcppgsl
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$
sudo apt autoclean && sudo apt autoremove
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3. Information about the r-cran-rcppgsl package on Ubuntu 20.10 (Groovy Gorilla)
Package: r-cran-rcppgsl
Architecture: amd64
Version: 0.3.8-1
Priority: optional
Section: universe/gnu-r
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Dirk Eddelbuettel
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 632
Depends: libc6 (>= 2.14), libgcc-s1 (>= 3.0), libgsl25 (>= 2.6), libstdc++6 (>= 5.2), r-base-core (>= 4.0.1-1), r-api-4.0, r-cran-rcpp (>= 0.11.0-1), libgsl-dev
Filename: pool/universe/r/r-cran-rcppgsl/r-cran-rcppgsl_0.3.8-1_amd64.deb
Size: 357512
MD5sum: 8c4693a69b84fb28f2c53e16144f2a03
SHA1: 329742acbbc552f24987feab3d28612b1cdd29eb
SHA256: 06392b28c722fcf14c75a8f0e221e9fb79900fbb19d5840bf746974a26693573
SHA512: 74822c7f47fa79c6705e7d87fe99c8bc948aa4922db9edc20ad3a7f96d017fe91a97393324b015ca8df25f9883a2f3b966da76e720aa69298bc0445842056162
Homepage: https://cran.r-project.org/package=RcppGSL
Description-en: 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.
Description-md5: d0035a9f5ccf0c410dbd8e934a860746
Architecture: amd64
Version: 0.3.8-1
Priority: optional
Section: universe/gnu-r
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Dirk Eddelbuettel
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 632
Depends: libc6 (>= 2.14), libgcc-s1 (>= 3.0), libgsl25 (>= 2.6), libstdc++6 (>= 5.2), r-base-core (>= 4.0.1-1), r-api-4.0, r-cran-rcpp (>= 0.11.0-1), libgsl-dev
Filename: pool/universe/r/r-cran-rcppgsl/r-cran-rcppgsl_0.3.8-1_amd64.deb
Size: 357512
MD5sum: 8c4693a69b84fb28f2c53e16144f2a03
SHA1: 329742acbbc552f24987feab3d28612b1cdd29eb
SHA256: 06392b28c722fcf14c75a8f0e221e9fb79900fbb19d5840bf746974a26693573
SHA512: 74822c7f47fa79c6705e7d87fe99c8bc948aa4922db9edc20ad3a7f96d017fe91a97393324b015ca8df25f9883a2f3b966da76e720aa69298bc0445842056162
Homepage: https://cran.r-project.org/package=RcppGSL
Description-en: 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.
Description-md5: d0035a9f5ccf0c410dbd8e934a860746