bpgmm (version 1.0.9)

generatePriorPsi: 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

# NOT RUN {
p <- 10
m <- 20
delta <- 2
bbeta <- 2
constraint <- c(0, 0, 0)

# }
# NOT RUN {
generatePriorPsi(
  p,
  m,
  delta,
  bbeta,
  constraint
)
# }