Package: MVNBayesian 0.0.8-11

ZHANG Chen

MVNBayesian: Bayesian Analysis Framework for MVN (Mixture) Distribution

Tools of Bayesian analysis framework using the method suggested by Berger (1985) <doi:10.1007/978-1-4757-4286-2> for multivariate normal (MVN) distribution and multivariate normal mixture (MixMVN) distribution: a) calculating Bayesian posteriori of (Mix)MVN distribution; b) generating random vectors of (Mix)MVN distribution; c) Markov chain Monte Carlo (MCMC) for (Mix)MVN distribution.

Authors:ZHANG Chen

MVNBayesian_0.0.8-11.tar.gz
MVNBayesian_0.0.8-11.zip(r-4.7-any)MVNBayesian_0.0.8-11.zip(r-4.6-any)MVNBayesian_0.0.8-11.zip(r-4.5-any)
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MVNBayesian_0.0.8-11.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
MVNBayesian/json (API)

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

Bug tracker:https://github.com/cubiczebra/mvnbayesian/issues

Datasets:

On CRAN:

Conda:

2.81 score 13 scripts 233 downloads 12 exports 3 dependencies

Last updated from:71e84fb715. Checks:7 WARNING, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develWARNING120
source / vignettesOK144
linux-releaseWARNING159
macos-releaseWARNING139
macos-oldrelWARNING187
windows-develWARNING77
windows-releaseWARNING73
windows-oldrelWARNING77
wasm-releaseOK93

Exports:Ascending_NumMatrixAlternativeMixMVN_BayesianPosteriorMixMVN_BayesianPosterioriMixMVN_GibbsSamplerMixMVN_MCMCMVN_BayesianIteratorMVN_BayesianPosteriorMVN_BayesianPosterioriMVN_FConditionalMVN_GibbsSamplerMVN_MCMC

Dependencies:mvtnormplyrRcpp