A S4 class for the Spearman distance model fitting.
It is derived from class `RankControl-class`

.

`EM_limit`

maximum number of EM iteration

`EM_epsilon`

convergence error for weights and cluster probabilities in EM iteration

`SearchPi0_limit`

maximum number of iterations in the local search of pi0.

`SearchPi0_FUN`

a function object that gives a goodness of fit criterion. The default is log likelihood.

`SearchPi0_fast_traversal`

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.

`SearchPi0_show_message`

a logical value. If TRUE, the location of the current pi0 is shown.

`SearchPi0_neighbour`

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

`RankData`

, `RankInit`

, `RankControl`

Embedding an R snippet on your website

Add the following code to your website.

For more information on customizing the embed code, read Embedding Snippets.