postPredMotg: Posterior predictive for univariate MoTG

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

Description

This function evaluates the posterior predictive distribution for a univariate MoTG model

Usage

postPredMotg(res, test, pts, upper, lower, realDens)

Arguments

res	list of results containing weight (wt), mean (mn), and covariance (cv) matrix for each cluster
test	test set where columns are the individual observations and rows are the dimension
pts	grid points to draw the density distribution
upper	upper bound of constraints, only use for unit square
lower	lower bound of constraints, only use for unit square
realDens	real density values at 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.