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: 1.1-1
Depends: R (≥ 3.1.0), graphics, grid
Imports: grDevices, stats, utils, survival, Formula (≥ 1.2-1)
Suggests: XML, pmml, rJava, rpart, mvtnorm, sandwich, strucchange, vcd, AER, mlbench, (≥ 1.0-3), coin (≥ 1.1-0), RWeka (≥ 0.4-19), datasets, parallel, psychotools, psychotree
Published: 2016-09-20
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: Constant Partying: Growing and Handling Trees with Constant Fits
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_1.1-1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X Mavericks binaries: r-release: partykit_1.0-5.tgz, r-oldrel: partykit_1.0-5.tgz
Old sources: partykit archive

Reverse dependencies:

Reverse depends: evtree, NHEMOtree, psychotree, quint, smbinning, vcrpart
Reverse imports: C50, LTRCtrees, MST
Reverse suggests: betareg, binst, data.tree, HSAUR2, HSAUR3, pdp, RWeka
Reverse enhances: d3r


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