Gibbs Sampler with convariance matrix | Gibbs Sampler with precision matrix H | Gibbs Sampler for linear constraints
This package is considered a duplicate. The official version of this package is found at:https://stefanwilhelm.r-universe.dev/tmvtnorm
Package: tmvtnorm 1.7
Stefan Wilhelm
tmvtnorm: Truncated Multivariate Normal and Student t Distribution
Random number generation for the truncated multivariate normal and Student t distribution. Computes probabilities, quantiles and densities, including one-dimensional and bivariate marginal densities. Computes first and second moments (i.e. mean and covariance matrix) for the double-truncated multinormal case.
Authors:
tmvtnorm_1.7.tar.gz
tmvtnorm_1.7.zip(r-4.7-x86_64)tmvtnorm_1.7.zip(r-4.7-arm64)tmvtnorm_1.7.zip(r-4.6-x86_64)tmvtnorm_1.7.zip(r-4.6-arm64)
tmvtnorm_1.7.tar.gz(r-4.7-arm64)tmvtnorm_1.7.tar.gz(r-4.7-x86_64)tmvtnorm_1.7.tar.gz(r-4.6-arm64)tmvtnorm_1.7.tar.gz(r-4.6-x86_64)
tmvtnorm_1.7.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
tmvtnorm/json (API)
| # Install 'tmvtnorm' in R: |
| install.packages('tmvtnorm', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:b72ab6f285. Checks:9 OK, 1 WARNING. Indexed: no.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 107 | ||
| linux-devel-x86_64 | OK | 123 | ||
| source / vignettes | OK | 236 | ||
| linux-release-arm64 | OK | 99 | ||
| linux-release-x86_64 | OK | 121 | ||
| windows-devel-arm64 | OK | 248 | ||
| windows-devel-x86_64 | OK | 144 | ||
| windows-release-arm64 | WARNING | 213 | ||
| windows-release-x86_64 | OK | 114 | ||
| wasm-release | OK | 105 |
Exports:dtmvnormdtmvnorm.marginaldtmvnorm.marginal2dtmvtgmm.tmvnormmle.tmvnormmtmvnormptmvnormptmvnorm.marginalptmvtptmvt.marginalqtmvnorm.marginalrtmvnormrtmvnorm.sparseMatrixrtmvnorm2rtmvt
