Bayesian framework for:
a) Computing Bayesian posterior for (Mix)MVN distribution Using for: *Bayesian posteriori in (Mix)MVN, *Parameter estimation
b) Gibbs sampler for generating random vectors based on specified (Mix)MVN Using for: *Marginal distributions in (Mix)MVN
c) Markov Chain Monte Carlo (MCMC) for approaching any customized conditional distribution based on specified (Mix)MVN Using for: *MCMC approach, *Conditional distributions in (Mix)MVN
R_3.5.0; plyr_1.8.4; mvtnorm_1.0-8
Some other related functions (including EM clustering for MixMVN) are in experimental...
Author: ZHANG Chen Contact: firstname.lastname@example.org
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