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:Stefan Wilhelm [aut, cre], Manjunath B G [aut]

tmvtnorm_1.7.tar.gz
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
card.svg |card.png
tmvtnorm/json (API)
NEWS

# Install 'tmvtnorm' in R:
install.packages('tmvtnorm', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • openblas– Optimized BLAS
  • fortran– Runtime library for GNU Fortran applications

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

openblasfortran

9.35 score 7 stars 66 packages 870 scripts 9.4k downloads 4 mentions 16 exports 6 dependencies

Last updated from:b72ab6f285. Checks:6 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64OK131
linux-devel-x86_64OK132
source / vignettesOK202
linux-release-arm64OK135
linux-release-x86_64OK140
wasm-releaseOK117

Exports:dtmvnormdtmvnorm.marginaldtmvnorm.marginal2dtmvtgmm.tmvnormmle.tmvnormmtmvnormptmvnormptmvnorm.marginalptmvtptmvt.marginalqtmvnorm.marginalrtmvnormrtmvnorm.sparseMatrixrtmvnorm2rtmvt

Dependencies:gmmlatticeMatrixmvtnormsandwichzoo

A short description of the Gibbs Sampler

Rendered fromGibbsSampler.Rnwusingutils::Sweaveon Jun 19 2026.

Last update: 2022-03-22
Started: 2014-02-26