EvaluateProposalLambda

hparam

thetaYList

CxyList

constraint

newlambda

<p>the vector of the number of factors in each clusters</p>

qVec

Model-based clustering using Bayesian parsimonious Gaussian mixture models.
MCMC (Markov chain Monte Carlo) are used for parameter estimation. The RJMCMC (Reversible-jump Markov chain Monte Carlo) is used for model selection.
GREEN et al. (1995) <doi:10.1093/biomet/82.4.711>.

Yaoxiang Li

bpgmm

Bayesian Model Selection Approach for Parsimonious Gaussian
Mixture Models

EvaluateProposalLambda function

EvaluateProposalLambda — EvaluateProposalLambda

EvaluateProposalLambda: EvaluateProposalLambda

Description

Usage

Arguments

Value