A S4 class for the Spearman distance model fitting.
It is derived from class
maximum number of EM iteration
convergence error for weights and cluster probabilities in EM iteration
maximum number of iterations in the local search of pi0.
a function object that gives a goodness of fit criterion. The default is log likelihood.
a logical value. If TRUE (by default), immediately traverse to the neighbour if it is better than the current pi0. Otherwise, check all neighbours and traverse to the best one.
a logical value. If TRUE, the location of the current pi0 is shown.
a character string specifying which type of neighbour to use in the local search. Supported values are: "Cayley" to use neighbours in terms of Cayley distance or "Kendall" to use neighbours in terms of Kendall distance. Note that Kendall neighbours are a subset of Cayley neighbours
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