rpartScore: Classification Trees for Ordinal Responses

Recursive partitioning methods to build classification trees for ordinal responses within the CART framework. 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.

Version: 1.0-2
Depends: R (≥ 4.2.0), rpart, stats, MASS
Published: 2022-05-25
DOI: 10.32614/CRAN.package.rpartScore
Author: Giuliano Galimberti, Gabriele Soffritti, Matteo Di Maso
Maintainer: Giuliano Galimberti <giuliano.galimberti at unibo.it>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Citation: rpartScore citation info
CRAN checks: rpartScore results


Reference manual: rpartScore.pdf


Package source: rpartScore_1.0-2.tar.gz
Windows binaries: r-devel: rpartScore_1.0-2.zip, r-release: rpartScore_1.0-2.zip, r-oldrel: rpartScore_1.0-2.zip
macOS binaries: r-release (arm64): rpartScore_1.0-2.tgz, r-oldrel (arm64): rpartScore_1.0-2.tgz, r-release (x86_64): rpartScore_1.0-2.tgz, r-oldrel (x86_64): rpartScore_1.0-2.tgz
Old sources: rpartScore archive

Reverse dependencies:

Reverse imports: pheble


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