How to Install and Uninstall r-cran-stanheaders Package on Ubuntu 20.10 (Groovy Gorilla)

Last updated: September 16,2024

1. Install "r-cran-stanheaders" package

This is a short guide on how to install r-cran-stanheaders on Ubuntu 20.10 (Groovy Gorilla)

$ sudo apt update $ sudo apt install r-cran-stanheaders

2. Uninstall "r-cran-stanheaders" package

Please follow the guidelines below to uninstall r-cran-stanheaders on Ubuntu 20.10 (Groovy Gorilla):

$ sudo apt remove r-cran-stanheaders $ sudo apt autoclean && sudo apt autoremove

3. Information about the r-cran-stanheaders package on Ubuntu 20.10 (Groovy Gorilla)

Package: r-cran-stanheaders
Architecture: amd64
Version: 2.21.0-5+really2.21.0-1-0ubuntu1
Priority: optional
Section: universe/gnu-r
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian R Packages Maintainers
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 7178
Depends: r-base-core (>= 4.0.1-1), r-api-4.0, r-cran-rcppeigen
Suggests: r-cran-rcpp, r-cran-bh, r-cran-knitr (>= 1.15.1), r-cran-rmarkdown, r-cran-matrix, r-cran-rstan, r-cran-rcppparallel
Filename: pool/universe/r/r-cran-stanheaders/r-cran-stanheaders_2.21.0-5+really2.21.0-1-0ubuntu1_amd64.deb
Size: 797136
MD5sum: fc46c4f9eaf66aec39403f11dfa06019
SHA1: bcb09b21ba0288b2f68444ffffd9ccc8b6cc46ba
SHA256: 0913496c7ab397dfd8dfb7ee7000b80a7cbf362b6f2ddaecadf3a30f9753780e
SHA512: e10639a61dd566ae8557fecf675e3926f83e78abe1813bbca915c8aa04aa52da3468719e678f1978a795b1b064009f53d3faba846ff20d897bd5dc8e5710b928
Homepage: https://cran.r-project.org/package=StanHeaders
Description-en: C++ Header Files for Stan for GNU R
The C++ header files of the Stan project are provided by this package,
but it contains no R code, vignettes, or function documentation. There
is a shared object containing part of the 'CVODES' library, but it is
not accessible from R. 'StanHeaders' is only useful for developers who
want to utilize the 'LinkingTo' directive of their package's DESCRIPTION
file to build on the Stan library without incurring unnecessary
dependencies. The Stan project develops a probabilistic programming
language that implements full or approximate Bayesian statistical
inference via Markov Chain Monte Carlo or 'variational' methods and
implements (optionally penalized) maximum likelihood estimation via
optimization. The Stan library includes an advanced automatic
differentiation scheme, 'templated' statistical and linear algebra
functions that can handle the automatically 'differentiable' scalar
types (and doubles, 'ints', etc.), and a parser for the Stan language.
The 'rstan' package provides user-facing R functions to parse, compile,
test, estimate, and analyze Stan models.
Description-md5: 9b1506a6ab4cbbf87b708a39b939806a