partykit: A Toolkit for Recursive Partytioning
Version 1.2-2

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) .

Package details

AuthorTorsten 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>)
Date of publication2018-06-05 07:19:23 UTC
MaintainerTorsten Hothorn <[email protected]>
LicenseGPL-2 | GPL-3
Version1.2-2
URL http://partykit.R-Forge.R-project.org/partykit
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("partykit")

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partykit documentation built on June 5, 2018, 9:04 a.m.