Classification trees for ordinal responses in R: The rpartScore package

Giuliano Galimberti, Gabriele Soffritti, Matteo Di Maso

Research output: Contribution to journalArticle

Abstract

This paper introduces rpartScore (Galimberti, Soffritti, and Di Maso 2012), a new R package for building classification trees for ordinal responses, that can be employed whenever a set of scores is assigned to the ordered categories of the response. This package has been created to overcome some problems that produced unexpected results from the package rpartOrdinal (Archer 2010). Explanations for the causes of these unexpected results are provided. The main functionalities of rpartScore are described, and its use is illustrated through some examples.

Original languageEnglish
JournalJournal of Statistical Software
Volume47
Publication statusPublished - Apr 2012

Keywords

  • CART
  • Generalized Gini impurity function
  • Pruning
  • Rpart

ASJC Scopus subject areas

  • Software
  • Statistics and Probability
  • Statistics, Probability and Uncertainty

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