Package: boodist 1.0.0.9000

Stéphane Laurent

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>.

Authors:Stéphane Laurent [aut, cre]

boodist_1.0.0.9000.tar.gz
boodist_1.0.0.9000.zip(r-4.7-x86_64)boodist_1.0.0.9000.zip(r-4.7-arm64)boodist_1.0.0.9000.zip(r-4.6-x86_64)boodist_1.0.0.9000.zip(r-4.6-arm64)boodist_1.0.0.9000.zip(r-4.5-x86_64)
boodist_1.0.0.9000.tgz(r-4.6-x86_64)boodist_1.0.0.9000.tgz(r-4.6-arm64)boodist_1.0.0.9000.tgz(r-4.5-x86_64)boodist_1.0.0.9000.tgz(r-4.5-arm64)
boodist_1.0.0.9000.tar.gz(r-4.7-arm64)boodist_1.0.0.9000.tar.gz(r-4.7-x86_64)boodist_1.0.0.9000.tar.gz(r-4.6-arm64)boodist_1.0.0.9000.tar.gz(r-4.6-x86_64)
boodist_1.0.0.9000.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
boodist/json (API)

# Install 'boodist' in R:
install.packages('boodist', repos = c('https://stla.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/stla/boodist/issues

Uses libs:
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

boostdistributionsrcppcpp

3.00 score 20 scripts 323 downloads 11 exports 5 dependencies

Last updated from:e08e19ebd7. Checks:15 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK196
linux-devel-x86_64OK248
source / vignettesOK266
linux-release-arm64OK202
linux-release-x86_64OK243
macos-release-arm64OK134
macos-release-x86_64OK385
macos-oldrel-arm64OK172
macos-oldrel-x86_64OK345
windows-devel-arm64OK276
windows-devel-x86_64OK295
windows-release-arm64OK457
windows-release-x86_64OK271
windows-oldrel-x86_64OK276
wasm-releaseOK182

Exports:BetafindChi2dffindChi2ncpGeneralizedInverseGaussianGumbelHyperexponentialInverseGammaInverseGaussianNormalInverseGaussianSkewNormalStudent

Dependencies:BHR6RcppRcppEigenRcppNumerical