EMControl-class: EM algorithm control parameters for fitting Gaussian mixtures...

In MAINT.Data: Model and Analyse Interval Data

EM algorithm control parameters for fitting Gaussian mixtures to interval data.

Description

This class contains the control parameters for the EM algorithm used in estimation of Gaussian mixtures by function Idtmclust. .

Objects from the Class

Objects can be created by calls of the form new("EMControl", ...) or by calling the constructor-function EMControl.

Slots

nrep

Number of replications (different randomly generated starting points) of the EM algorithm.

maxiter

Maximum number of iterations in each replication of the EM algorithm.

convtol

Numeric tolerance for testing the convergence of the EM algorithm. Convergence is assumed when the log-likelihood changes less than convtol.

protol

Numeric tolerance for the mixture proportions. Proportions below protol, considered to be zero, are not allowed.

seed

Starting value for random generator.

See Also

EMControl

MAINT.Data documentation built on April 4, 2023, 9:09 a.m.