This class contains the control parameters for the EM algorithm used in estimation of Gaussian mixtures by function
Objects can be created by calls of the form
or by calling the constructor-function
Number of replications (different randomly generated starting points) of the EM algorithm.
Maximum number of iterations in each replication of the EM algorithm.
Numeric tolerance for testing the convergence of the EM algorithm. Convergence is assumed when the log-likelihood changes less than convtol.
Numeric tolerance for the mixture proportions. Proportions below protol, considered to be zero, are not allowed.
Starting value for random generator.
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