qclust_w_initialvalues: Estimate Gaussian Mixture Models with Initial Values

In qclust: Robust Estimation of Gaussian Mixture Models

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<q<=1.
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

Author(s)

Yichen Qin, Carey E. Priebe Maintainer: Yichen Qin <[e-mail]>

qclust documentation built on May 2, 2019, 9:18 a.m.