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boodist: Some Distributions from the 'Boost' Library and More

Make some distributions from the 'C++' library 'Boost' available in 'R'. In addition, the normal-inverse Gaussian distribution and the generalized inverse Gaussian distribution are provided. The distributions are represented by 'R6' classes. The method to sample from the generalized inverse Gaussian distribution is the one given in "Random variate generation for the generalized inverse Gaussian distribution" Luc Devroye (2012) <doi:10.1007/s11222-012-9367-z>.

Version: 1.0.0
Imports: R6, Rcpp, RcppNumerical, stats
LinkingTo: BH, Rcpp, RcppEigen, RcppNumerical
Suggests: plotly
Published: 2023-08-10
DOI: 10.32614/CRAN.package.boodist
Author: Stéphane Laurent [aut, cre]
Maintainer: Stéphane Laurent <laurent_step at outlook.fr>
BugReports: https://github.com/stla/boodist/issues
License: GPL-3
URL: https://github.com/stla/boodist
NeedsCompilation: yes
SystemRequirements: C++17
Materials: README NEWS
CRAN checks: boodist results

Documentation:

Reference manual: boodist.pdf

Downloads:

Package source: boodist_1.0.0.tar.gz
Windows binaries: r-devel: boodist_1.0.0.zip, r-release: boodist_1.0.0.zip, r-oldrel: boodist_1.0.0.zip
macOS binaries: r-release (arm64): boodist_1.0.0.tgz, r-oldrel (arm64): boodist_1.0.0.tgz, r-release (x86_64): boodist_1.0.0.tgz, r-oldrel (x86_64): boodist_1.0.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=boodist to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.