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.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
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'))

On CRAN:

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

3.31 score 3 packages 26 scripts 8.8k downloads 1 exports 0 dependencies

Last updated from:676c469dae. Checks:6 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK129
linux-devel-x86_64OK82
source / vignettesOK135
linux-release-arm64OK100
linux-release-x86_64OK98
wasm-releaseOK87

Exports:tmvnsim

Dependencies: