RankControlWtau-class: RankControlWtau Class
In rankdist: Distance Based Ranking Models
Description
A S4 class for the Weighted tau model fitting.
It is derived from class RankControl-class.
Slots
EM_limitmaximum number of EM iteration
EM_epsilonconvergence error for weights and cluster probabilities in EM iteration
SearchPi0_limitmaximum number of iterations in the local search of pi0.
SearchPi0_FUNa function object that gives a goodness of fit criterion. The default is log likelihood.
SearchPi0_fast_traversala 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_messagea logical value. If TRUE, the location of the current pi0 is shown.
SearchPi0_neighboura 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_controla list to be passed to optimx. The list must not contain a component maximize=TRUE since internally the negation of the likelihood function is minimized.
See Also
RankData, RankInit, RankControl
rankdist documentation built on July 28, 2019, 1:02 a.m.
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Description
A S4 class for the Weighted tau model fitting.
It is derived from class RankControl-class.
Slots
EM_limitmaximum number of EM iteration
EM_epsilonconvergence error for weights and cluster probabilities in EM iteration
SearchPi0_limitmaximum number of iterations in the local search of pi0.
SearchPi0_FUNa function object that gives a goodness of fit criterion. The default is log likelihood.
SearchPi0_fast_traversala 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_messagea logical value. If TRUE, the location of the current pi0 is shown.
SearchPi0_neighboura 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_controla list to be passed to
optimx. The list must not contain a componentmaximize=TRUEsince internally the negation of the likelihood function is minimized.
See Also
RankData, RankInit, RankControl
R Package Documentation
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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