Package: tmvnsim 1.0-2

Samsiddhi Bhattacharjee

tmvnsim: Truncated Multivariate Normal Simulation

Importance sampling from the truncated multivariate normal using the GHK (Geweke-Hajivassiliou-Keane) simulator. Unlike Gibbs sampling which can get stuck in one truncation sub-region depending on initial values, this package allows truncation based on disjoint regions that are created by truncation of absolute values. The GHK algorithm uses simple Cholesky transformation followed by recursive simulation of univariate truncated normals hence there are also no convergence issues. Importance sample is returned along with sampling weights, based on which, one can calculate integrals over truncated regions for multivariate normals.

Authors:Samsiddhi Bhattacjarjee <[email protected]>

tmvnsim_1.0-2.tar.gz
tmvnsim_1.0-2.zip(r-4.7-x86_64)tmvnsim_1.0-2.zip(r-4.7-arm64)tmvnsim_1.0-2.zip(r-4.6-x86_64)tmvnsim_1.0-2.zip(r-4.6-arm64)
tmvnsim_1.0-2.tar.gz(r-4.7-arm64)tmvnsim_1.0-2.tar.gz(r-4.7-x86_64)tmvnsim_1.0-2.tar.gz(r-4.6-arm64)tmvnsim_1.0-2.tar.gz(r-4.6-x86_64)
tmvnsim_1.0-2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
tmvnsim/json (API)

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

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Last updated from:676c469dae. Checks:9 OK, 1 WARNING. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK90
linux-devel-x86_64OK110
source / vignettesOK145
linux-release-arm64OK84
linux-release-x86_64OK113
windows-devel-arm64OK184
windows-devel-x86_64OK95
windows-release-arm64WARNING153
windows-release-x86_64OK77
wasm-releaseOK89

Exports:tmvnsim

Dependencies: