RankControlKendall-class {rankdist}

RankControlKendall Class

Description

A S4 class to store control parameters for Kendall distance model fitting (Mallow's Phi Model). It is derived from class RankControl-class.

Details

RankControlKendall is derived from virtual class RankControl. This control class tells the solver to fit a model based on Kendall distance. The control parameters that start with prefix EM_ are intended for the EM iteration. The ones with prefix SeachPi0 control the behaviour of searching model ranking.

Slots

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

See Also

RankData, RankInit, RankControl

Examples

# enabling messages
testctrl = new("RankControlKendall",SearchPi0_show_message=TRUE)