evaluatePriorPsi: evaluatePriorPsi

In bpgmm: Bayesian Model Selection Approach for Parsimonious Gaussian Mixture Models

evaluatePriorPsi

Description

evaluate prior value for parameter Psi

Usage

evaluatePriorPsi(psy, p, m, delta, bbeta, constraint, clusInd)

Arguments

psy	parameter
p	the number of features
m	the number of clusters
delta	parameter
bbeta	parameter
constraint	parameter
clusInd	cluster indicator vector

Examples

p <- 10
m <- 20
delta <- 2
bbeta <- 2
constraint <- c(0, 0, 0)
psy <- generatePriorPsi(
  p,
  m,
  delta,
  bbeta,
  constraint
)
clusInd <- rep(1, m)
#'

evaluatePriorPsi(
  psy,
  p,
  m,
  delta,
  bbeta,
  constraint,
  clusInd
)

bpgmm documentation built on June 2, 2022, 1:10 a.m.