partykit: A Toolkit for Recursive Partytioning
Version 1.2-0

A toolkit with infrastructure for representing, summarizing, and visualizing tree-structured regression and classification models. This unified infrastructure can be used for reading/coercing tree models from different sources ('rpart', 'RWeka', 'PMML') yielding objects that share functionality for print()/plot()/predict() methods. Furthermore, new and improved reimplementations of conditional inference trees (ctree()) and model-based recursive partitioning (mob()) from the 'party' package are provided based on the new infrastructure. A description of this package was published by Hothorn and Zeileis (2015) .

Package details

AuthorTorsten Hothorn [aut, cre], Heidi Seibold [ctb], Achim Zeileis [aut]
Date of publication2017-05-24 21:08:25
MaintainerTorsten Hothorn <Torsten.Hothorn@R-project.org>
LicenseGPL-2 | GPL-3
Version1.2-0
URL http://partykit.R-Forge.R-project.org/partykit
Package repositoryView on R-Forge
Installation Install the latest version of this package by entering the following in R:
install.packages("partykit", repos="http://R-Forge.R-project.org")

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partykit documentation built on May 31, 2017, 3:38 a.m.