generatePriorThetaY {bpgmm} | R Documentation |
PriorThetaY list
Description
generate prior value for parameter Theta and Y.
Usage
generatePriorThetaY(m, n, p, muBar, hparam, qVec, ZOneDim, constraint)
Arguments
m |
the number of cluster |
n |
sample size |
p |
number of covariates |
muBar |
parameter |
hparam |
hyperparameters |
qVec |
the vector of the number of factors in each clusters |
ZOneDim |
ZOneDim |
constraint |
constraint |
Examples
m <- 20
n <- 500
p <- 10
muBar <- c(
-33.1342706763595, -35.2699639183419, 48.276928009445, 16.2370659601218,
19.0023163870536, -23.4900965314972, 37.1081269873873, 4.74944562930846,
4.6918997353449, -4.55088073255655
)
hparam <- new("Hparam",
alpha1 = 0.567755037123148, alpha2 = 1.1870201935945,
delta = 2, ggamma = 2, bbeta = 3.39466184520673
)
qVec <- c(4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4)
ZOneDim <- sample(seq_len(m), n, replace = TRUE)
constraint <- c(0, 0, 0)
#'
generatePriorThetaY(m, n, p, muBar, hparam, qVec, ZOneDim, constraint)
[Package bpgmm version 1.0.9 Index]