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)mvgb_0.0.6.zip(r-4.6)mvgb_0.0.6.zip(r-4.5)
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 381 downloads 1 exports 0 dependencies

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

TargetResultTimeFilesSyslog
linux-devel-arm64OK146
linux-devel-x86_64OK105
source / vignettesOK115
linux-release-arm64OK109
linux-release-x86_64OK103
macos-release-arm64OK73
macos-release-x86_64OK175
macos-oldrel-arm64OK70
macos-oldrel-x86_64OK236
windows-develOK62
windows-releaseOK74
windows-oldrelOK63
wasm-releaseOK87

Exports:pmvss

Dependencies: