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rpartScore

Classification Trees for Ordinal Responses

Installation

About

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.

Citation rpartScore citation info

Key Metrics

Version 1.0-2
R ≥ 4.2.0
Published 2022-05-25 673 days ago
Needs compilation? no
License GPL-2
License GPL-3
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Maintainer

Maintainer

Giuliano Galimberti

giuliano.galimberti@unibo.it

Authors

Giuliano Galimberti
Gabriele Soffritti
Matteo Di Maso

Material

Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

rpartScore archive

Depends

R ≥ 4.2.0
rpart
stats
MASS