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.
|Author||Giuliano Galimberti, Gabriele Soffritti, Matteo Di Maso|
|Date of publication||2012-12-08 12:56:58|
|Maintainer||Giuliano Galimberti <firstname.lastname@example.org>|
|License||GPL (>= 2)|
evalMedian: Pruning a classification tree using the total...
evalMode: Pruning a classification tree using the total...
initScore: Summarizing and visualizing classification trees
rpartScore: Classification trees for ordinal responses
rpartScore-package: Classification trees for ordinal responses
splitAbs: Generalized Gini splitting function based on absolute...
splitQuad: Generalized Gini splitting function based on quadratic...
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