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>.
| Version: | 1.2-24 |
| 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,pmml,rJava,sandwich,strucchange,vcd,AER,mlbench,TH.data (≥ 1.0-3),coin (≥ 1.1-0),RWeka (≥ 0.4-19), datasets, parallel,psychotools (≥ 0.3-0),psychotree,party (≥ 1.3-0),randomForest |
| Published: | 2025-05-02 |
| DOI: | 10.32614/CRAN.package.partykit |
| Author: | Torsten Hothorn [aut, cre], Heidi Seibold [ctb], Achim Zeileis [aut] |
| Maintainer: | Torsten Hothorn <Torsten.Hothorn at R-project.org> |
| License: | GPL-2 |GPL-3 |
| URL: | http://partykit.r-forge.r-project.org/partykit/ |
| NeedsCompilation: | yes |
| Citation: | partykit citation info |
| Materials: | NEWS |
| In views: | MachineLearning |
| CRAN checks: | partykit results |