A Toolkit for Recursive Partytioning R package partykit version 1.2-29 CRAN Task View: MachineLearning (https://CRAN.R-project.org/view=MachineLearning) 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) <https://jmlr.org/papers/v16/hothorn15a.html>. Software Depends: R (>= 3.5.0), graphics, grid, libcoin (>= 1.0-0), mvtnorm Imports: grDevices, stats, utils, survival, Formula (>= 1.2-1), inum (>= 1.0-0), rpart (>= 4.1-11) Suggests: XML, rJava, sandwich, strucchange, vcd, TH.data (>= 1.0-3), mlbench, AER, coin (>= 1.1-0), party (>= 1.3-0), RWeka (>= 0.4-19), datasets, parallel, psychotools (>= 0.3-0), psychotree, randomForest, knitr, bibtex Torsten Hothorn <Torsten.Hothorn@R-project.org> Comprehensive R Archive Network (CRAN) Torsten Hothorn [aut, cre] (ORCID: <https://orcid.org/0000-0001-8301-0471>), Heidi Seibold [ctb] (ORCID: <https://orcid.org/0000-0002-8960-9642>), Achim Zeileis [aut] (ORCID: <https://orcid.org/0000-0003-0918-3766>) GPL-2 GPL-3 2026-07-17 application/tgz https://CRAN.R-project.org/package=partykit doi:10.32614/CRAN.package.partykit