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.

Classification trees for ordinal responses in R : the rpartScore package / G. Galimberti, G. Soffritti, M. Di Maso. - In: JOURNAL OF STATISTICAL SOFTWARE. - ISSN 1548-7660. - 47:10(2012), pp. 1-25.

Classification trees for ordinal responses in R : the rpartScore package

M. Di Maso
Ultimo
2012

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.
CART; generalized Gini impurity function; pruning; Rpart; software; statistics and probability; statistics, probability and uncertainty
Settore SECS-S/01 - Statistica
2012
http://www.jstatsoft.org/v47/i10/paper
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/346414
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