Package: rpartScore 1.0-2

Giuliano Galimberti

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.

Authors:Giuliano Galimberti, Gabriele Soffritti, Matteo Di Maso

rpartScore_1.0-2.tar.gz
rpartScore_1.0-2.tar.gz(r-4.5-noble)rpartScore_1.0-2.tar.gz(r-4.4-noble)
rpartScore_1.0-2.tgz(r-4.4-emscripten)rpartScore_1.0-2.tgz(r-4.3-emscripten)
rpartScore.pdf |rpartScore.html✨
rpartScore/json (API)

# Install 'rpartScore' in R:
install.packages('rpartScore', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.76 score 1 packages 19 scripts 328 downloads 1 mentions 6 exports 2 dependencies

Last updated 3 years agofrom:0e2d300f8b. Checks:2 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 20 2025
R-4.5-linuxOKFeb 20 2025

Exports:evalMedianevalModeinitScorerpartScoresplitAbssplitQuad

Dependencies:MASSrpart