partykit: A Toolkit for Recursive Partytioning
Version 1.2-0

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] (0000-0001-8301-0471), Heidi Seibold [ctb] (0000-0002-8960-9642), Achim Zeileis [aut] (0000-0003-0918-3766)
Date of publication2017-12-18 19:54:15 UTC
MaintainerTorsten Hothorn <[email protected]>
LicenseGPL-2 | GPL-3
Package repositoryView on CRAN
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partykit documentation built on Dec. 23, 2017, 5:30 p.m.