Package: mvgb 0.0.6

mvgb: Multivariate Probabilities of Scale Mixtures of Multivariate Normal Distributions via the Genz and Bretz (2002) QRSVN Method

Generates multivariate subgaussian stable probabilities using the QRSVN algorithm as detailed in Genz and Bretz (2002) <doi:10.1198/106186002394> but by sampling positive stable variates not chi/sqrt(nu).

Authors:Alan Genz [aut], Bruce Swihart [aut, cre]

mvgb_0.0.6.tar.gz
mvgb_0.0.6.zip(r-4.7-x86_64)mvgb_0.0.6.zip(r-4.6-x86_64)mvgb_0.0.6.zip(r-4.5-x86_64)
mvgb_0.0.6.tgz(r-4.6-x86_64)mvgb_0.0.6.tgz(r-4.6-arm64)mvgb_0.0.6.tgz(r-4.5-x86_64)mvgb_0.0.6.tgz(r-4.5-arm64)
mvgb_0.0.6.tar.gz(r-4.7-arm64)mvgb_0.0.6.tar.gz(r-4.7-x86_64)mvgb_0.0.6.tar.gz(r-4.6-arm64)mvgb_0.0.6.tar.gz(r-4.6-x86_64)
mvgb_0.0.6.tgz(r-4.6-emscripten)
manual.pdf |manual.html
DESCRIPTION |NEWS
card.svg |card.png
mvgb/json (API)

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

Bug tracker:https://github.com/swihart/mvgb/issues

On CRAN:

Conda:

2.70 score 6 scripts 331 downloads 1 exports 0 dependencies

Last updated from:6fe8f71a0c. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK159
linux-devel-x86_64OK103
source / vignettesOK148
linux-release-arm64OK108
linux-release-x86_64OK133
macos-release-arm64OK108
macos-release-x86_64OK144
macos-oldrel-arm64OK98
macos-oldrel-x86_64OK212
windows-develOK68
windows-releaseOK65
windows-oldrelOK67
wasm-releaseOK84

Exports:pmvss

Dependencies: