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.

Package details

AuthorGiuliano Galimberti, Gabriele Soffritti, Matteo Di Maso
MaintainerGiuliano Galimberti <giuliano.galimberti@unibo.it>
LicenseGPL (>= 2)
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:

Try the rpartScore package in your browser

Any scripts or data that you put into this service are public.

rpartScore documentation built on May 28, 2022, 1:08 a.m.