rpartScore: Classification trees for ordinal responses

This package contains functions that allow to build classification trees for ordinal responses within the CART framework. The trees are grown using the Generalized Gini impurity function, where the misclassification costs are given by the absolute or squared differences in scores assigned to the categories of the response. Pruning is based on the total misclassification rate or on the total misclassification cost.

AuthorGiuliano Galimberti, Gabriele Soffritti, Matteo Di Maso
Date of publication2012-12-08 12:56:58
MaintainerGiuliano Galimberti <giuliano.galimberti@unibo.it>
LicenseGPL (>= 2)
Version1.0-1

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Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

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