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'))

Peer review:

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

Datasets:

On CRAN:

12 exports 0.62 score 3 dependencies 13 scripts 116 downloads

Last updated 6 years agofrom:71e84fb715. Checks:OK: 1 WARNING: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 07 2024
R-4.5-winWARNINGSep 07 2024
R-4.5-linuxWARNINGSep 07 2024
R-4.4-winWARNINGSep 07 2024
R-4.4-macWARNINGSep 07 2024
R-4.3-winWARNINGSep 07 2024
R-4.3-macWARNINGSep 07 2024

Exports:Ascending_NumMatrixAlternativeMixMVN_BayesianPosteriorMixMVN_BayesianPosterioriMixMVN_GibbsSamplerMixMVN_MCMCMVN_BayesianIteratorMVN_BayesianPosteriorMVN_BayesianPosterioriMVN_FConditionalMVN_GibbsSamplerMVN_MCMC

Dependencies:mvtnormplyrRcpp