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

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MVNBayesian.pdf |MVNBayesian.html✨
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 150 downloads 12 exports 3 dependencies

Last updated 7 years agofrom:71e84fb715. Checks:1 OK, 8 WARNING. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 06 2025
R-4.5-winWARNINGMar 06 2025
R-4.5-macWARNINGMar 06 2025
R-4.5-linuxWARNINGMar 06 2025
R-4.4-winWARNINGMar 06 2025
R-4.4-macWARNINGMar 06 2025
R-4.4-linuxWARNINGMar 06 2025
R-4.3-winWARNINGMar 06 2025
R-4.3-macWARNINGMar 06 2025

Exports:Ascending_NumMatrixAlternativeMixMVN_BayesianPosteriorMixMVN_BayesianPosterioriMixMVN_GibbsSamplerMixMVN_MCMCMVN_BayesianIteratorMVN_BayesianPosteriorMVN_BayesianPosterioriMVN_FConditionalMVN_GibbsSamplerMVN_MCMC

Dependencies:mvtnormplyrRcpp