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. A description of this package was published by Hothorn and Zeileis (2015) <https://jmlr.org/papers/v16/hothorn15a.html>.

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

Vignettes Man pages API and functions Files

Package details
Author	Torsten Hothorn [aut, cre] (<https://orcid.org/0000-0001-8301-0471>), Heidi Seibold [ctb] (<https://orcid.org/0000-0002-8960-9642>), Achim Zeileis [aut] (<https://orcid.org/0000-0003-0918-3766>)
Maintainer	Torsten Hothorn <Torsten.Hothorn@R-project.org>
License	GPL-2 \| GPL-3
Version	1.2-20
URL	http://partykit.r-forge.r-project.org/partykit/
Package repository	View on CRAN
Installation	Install the latest version of this package by entering the following in R: `install.packages("partykit")`