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  • 标题:Classification Trees for Ordinal Responses in R: The rpartScore Package
  • 本地全文:下载
  • 作者:Giuliano Galimberti ; Gabriele Soffritti ; Matteo Di Maso
  • 期刊名称:Journal of Statistical Software
  • 印刷版ISSN:1548-7660
  • 电子版ISSN:1548-7660
  • 出版年度:2012
  • 卷号:47
  • 期号:1
  • 页码:1-25
  • 语种:English
  • 出版社:University of California, Los Angeles
  • 摘要: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.
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