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.

Author
Giuliano Galimberti, Gabriele Soffritti, Matteo Di Maso
Date of publication
2012-12-08 12:56:58
Maintainer
Giuliano Galimberti <giuliano.galimberti@unibo.it>
License
GPL (>= 2)
Version
1.0-1

View on CRAN

Man pages

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...

Files in this package

rpartScore
rpartScore/MD5
rpartScore/R
rpartScore/R/splitQuad.R
rpartScore/R/splitAbs.R
rpartScore/R/rpartScore.R
rpartScore/R/initScore.R
rpartScore/R/evalMode.R
rpartScore/R/evalMedian.R
rpartScore/NAMESPACE
rpartScore/man
rpartScore/man/splitQuad.Rd
rpartScore/man/splitAbs.Rd
rpartScore/man/rpartScore.Rd
rpartScore/man/rpartScore-package.Rd
rpartScore/man/initScore.Rd
rpartScore/man/evalMode.Rd
rpartScore/man/evalMedian.Rd
rpartScore/inst
rpartScore/inst/CITATION
rpartScore/DESCRIPTION