updateParamsTmog: Update parameters for TMoG model

In pasudyan/ConstrMixMod: MCMC methods for flexible mixture modeling on constrained spaces

Description

This function updates the cluster parameters in the univariate TMoG model

Usage

updateParamsTmog(K, alp, xRejs, wt, niwpr, zRejs)

Arguments

K	max number of clusters
alp	parameter for dirichlet process prior
xRejs	data matrix of rejected proposals
wt	weights of each cluster
niwpr	normal-inverse-wishart prior
zRejs	cluster assignments for rejected proposals

Value

list of new weights, mean, covariance matrix, number of rejected proposals, and number of observations in each cluster

pasudyan/ConstrMixMod documentation built on May 10, 2019, 8:26 a.m.