partykit: A Toolkit for Recursive Partytioning

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.

Version: 0.8-0
Depends: R (≥ 2.15.0), graphics, grid
Imports: stats, survival
Suggests: XML, pmml, rJava, rpart, mvtnorm, Formula, sandwich, strucchange, vcd, AER, mlbench, (≥ 1.0-3), coin, RWeka (≥ 0.4-19), mvpart, datasets, psychotools, psychotree
Published: 2014-03-27
Author: Torsten Hothorn [aut, cre], Achim Zeileis [aut]
Maintainer: Torsten Hothorn <Torsten.Hothorn at>
License: GPL-2 | GPL-3
NeedsCompilation: yes
Citation: partykit citation info
Materials: NEWS
In views: MachineLearning
CRAN checks: partykit results


Reference manual: partykit.pdf
Vignettes: partykit: A Toolkit for Recursive Partytioning
ctree: Conditional Inference Trees
Parties, Models, Mobsters: A New Implementation of Model-Based Recursive Partitioning in R
partykit: A Toolkit for Recursive Partytioning
Package source: partykit_0.8-0.tar.gz
MacOS X binary: partykit_0.8-0.tgz
Windows binary:
Old sources: partykit archive

Reverse dependencies:

Reverse depends: evtree, NHEMOtree, quint
Reverse suggests: HSAUR2, HSAUR3, RWeka