postPredDistMv: Posterior predictive for multivariate data

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

Description

This function evaluates the posterior predictive distribution for univariate models

Usage

postPredDistMv(mix, constrType, res, test, constr, thinsc, ...)

Arguments

mix	type of model. One of "tmog" or "motg"
constrType	type of bounds. One of "simple" or "complex". If "simple", include lower and upper bounds for all dimension
res	list of results containing weight (wt), mean (mn), and covariance (cv) matrix for each cluster
test	matrix of p-by-N where p is the number of dimensions and N is the total number of observations
constr	function which inputs test and outputs TRUE/FALSE
thinsc	thinning of chain (default is 1, no thinning)
...	input lower and upper bounds for "simple" constraint type

Value

list of prediction at points, prediction of tests, along with error bars

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