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rankdist (version 1.1.0)

RankControl-class: RankControl Class

Description

A virtual S4 class to store control parameters for model fitting.

Arguments

User-defined Criterion

You can specify user-defined criterion to choose modal rankings. The function object SearchPi0_FUN takes a list as argument. The components in the list include the following. obs: the number of observations. w.est: the estimated weights. log_likelihood: the estimated log_likelihood. With this information, most of the popular information criterion can be supported and customized criterion can also be defined. A larger returned value indicates a better fit. Note that if you are fitting a mixture model the EM algorithm always tries to maximized the log likelihood. Thus the default value should be used in this case.

Details

RankControl class must be extended to reflect what distance metric should be used. Possibles extensions are RankControlWeightedKendall. 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.

See Also

RankData, RankInit