**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*

**Development Enviroment:**

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: 447974102@qq.com

CubicZebra/MVNBayesian documentation built on May 17, 2019, 2:14 a.m.

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