param_init: Initial estimation of heterogeneous parameters Lambda and...
In xiangli2pro/hbcm: HBCM model for cluster analysis

init_hparam

R Documentation

Initial estimation of heterogeneous parameters Lambda and Sigma

Description

'init_hparam( )' gives the initial estimation of parameters Lambda and Sigma.

calculate the number of pairs that hlambda and hsigma have the same sign

print iteration info

'init_omega( )' gives the initial estimation of group-correlation matrix omega.

Usage

init_hparam(x, centers, labels, tol, iter, verbose = FALSE)

init_hparam0(x, tol, iter, verbose = FALSE)

hparam_sign(vec1, vec2)

verbose_print_alpha(verbose, param_name, min_val, x, qalpha, hlambda, hsigma)

init_hparam0_fix_hlambda(x, tol, iter, verbose = FALSE, hlambda)

init_hparam_fix_hlambda(
  x,
  centers,
  labels,
  tol,
  iter,
  verbose = FALSE,
  hlambda
)

init_omega(x, centers, labels, hlambda, hsigma)

obj_init_qalpha(x, hlambda, hsigma)

obj_qalpha_logL(x, qalpha, hlambda, hsigma)

obj_init_hlambda(x, qalpha)

obj_init_hsigma(x, qalpha, hlambda)

Arguments

`x`	a numeric matrix data.
`centers`	an integer specifying the number of clusters.
`labels`	a vector specifying the cluster labels of the columns of x.
`tol`	numerical tolerance of the iteration updates.
`iter`	number of iterations.
`verbose`	if TRUE, print iteration information.
`vec1`	a vector of hlambda estimation.
`vec2`	a vector of hlambda estimation.
`param_name`	name of the parameter being updated.
`min_val`	minimum objective-value being calculated.
`qalpha`	distribution of parameter vector alpha.
`hlambda`	heterogeneous parameter vector Lambda.
`hsigma`	heterogeneous parameter vector Sigma.