generatePriorPsi: generatePriorPsi

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

generatePriorPsi

Description

generate prior value for parameter Psi

Usage

generatePriorPsi(p, m, delta, bbeta, constraint)

Arguments

p	the number of features
m	the number of clusters
delta	hyperparameters
bbeta	hyperparameters
constraint	the pgmm constraint, a vector of length three with binary entry. For example, c(1,1,1) means the fully constraint model

Examples

p <- 10
m <- 20
delta <- 2
bbeta <- 2
constraint <- c(0, 0, 0)


generatePriorPsi(
  p,
  m,
  delta,
  bbeta,
  constraint
)

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