postPredDist: Posterior predictive for univariate 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

postPredDist(mix, constrType, res, test, pts, realDens, ...)

Arguments

mix	one of "tmog" or "motg"
constrType	one of "simple" and "complex". If "simple" include lower and upper bounds.
res	list of results containing weight (wt), mean (mn), and covariance (cv) matrix for each cluster
test	matrix of p-by-N where N are number of observations and p are number of dimension
pts	grid points to draw the density distribution
realDens	real density values at grid points

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.