Package

r-partykit

Description

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>.

Note