try_mixture_gpcm {outlierMBC}R Documentation

Run mixture::gpcm and try alternative covariance structures or initialisations if necessary.

Description

If mixture::gpcm returns an error, this function first tries the other covariance structures, and then tries a k-means initialisation.

Usage

try_mixture_gpcm(x, comp_num, mnames, z, nmax, atol, fixed_labels)

Arguments

x

Data.

comp_num

Number of mixture components.

mnames

Model names for mixture::gpcm.

z

Component assignment probability matrix for initialisation.

nmax

Maximum number of iterations for mixture::gpcm.

atol

EM convergence tolerance threshold for mixture::gpcm.

fixed_labels

Cluster labels that are known a prior. See label argument in mixture::gpcm.

Value

Object of class "gpcm" outputted by mixture::gpcm.


[Package outlierMBC version 0.0.1 Index]