RankControlKendall-class: RankControlKendall Class
In simonfqy/rankdistext:

Description Details Slots See Also Examples

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

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.

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
optimx_control: this slot is not used.