qclust (version 1.0)

qclust_w_initialvalues: Estimate Gaussian Mixture Models with Initial Values

Description

Robust estimation of Gaussian mixture models with given initial values given as arguement.

Usage

qclust_w_initialvalues(d, means_init, vars_init, pis_init, q, tol = 1e-05)

Arguments

d

A data matrix, n by p. n is sample size, p is the dimension.

means_init

Initial values for means.

vars_init

Initial values for variances.

pis_init

Initial values for proportions.

q

A tuning parameter, 0

tol

Tolerance level for the EM algorithm to converge.

Value

This function returns a list which contains:

means

Estimated means

vars

Estimated variances

pis

Estimated proportions