Description Objects from the Class Slots See Also

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

. .

Objects can be created by calls of the form `new("EMControl", ...)`

or by calling the constructor-function `EMControl`

.

`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.

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