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:
mvgb_0.0.6.tar.gz
mvgb_0.0.6.zip(r-4.7-x86_64)mvgb_0.0.6.zip(r-4.7-arm64)mvgb_0.0.6.zip(r-4.6-x86_64)mvgb_0.0.6.zip(r-4.6-arm64)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
Last updated from:6fe8f71a0c. Checks:4 NOTE, 10 OK, 1 WARNING. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | NOTE | 74 | ||
| linux-devel-x86_64 | NOTE | 79 | ||
| source / vignettes | OK | 131 | ||
| linux-release-arm64 | OK | 67 | ||
| linux-release-x86_64 | OK | 100 | ||
| macos-release-arm64 | OK | 95 | ||
| macos-release-x86_64 | OK | 161 | ||
| macos-oldrel-arm64 | OK | 80 | ||
| macos-oldrel-x86_64 | OK | 152 | ||
| windows-devel-arm64 | NOTE | 182 | ||
| windows-devel-x86_64 | NOTE | 98 | ||
| windows-release-arm64 | WARNING | 190 | ||
| windows-release-x86_64 | OK | 65 | ||
| windows-oldrel-x86_64 | OK | 57 | ||
| wasm-release | OK | 73 |
Exports:pmvss
Dependencies:
