partykitR1: A Toolkit for Recursive Partytioning (R1 Series)

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.

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 partykitR1: A Toolkit for Recursive Partytioning

Vignettes Man pages API and functions Files

Package details
Author	Torsten Hothorn [aut, cre], Achim Zeileis [aut]
Maintainer	Torsten Hothorn <Torsten.Hothorn@R-project.org>
License	GPL-2 \| GPL-3
Version	1.1-2
URL	http://partykit.R-Forge.R-project.org/partykit
Package repository	View on R-Forge
Installation	Install the latest version of this package by entering the following in R: `install.packages("partykitR1", repos="http://R-Forge.R-project.org")`