Learn R Programming

⚠️There's a newer version (1.2-23) of this package.Take me there.

partykit (version 1.0-0)

A Toolkit for Recursive Partytioning

Description

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.

Copy Link

Version

Install

install.packages('partykit')

Monthly Downloads

23,543

Version

1.0-0

License

GPL-2 | GPL-3

Maintainer

Torsten Hothorn

Last Published

February 21st, 2015

Functions in partykit (1.0-0)

nodeapply

Apply Functions Over Nodes
WeatherPlay

Weather Conditions and Playing a Game
glmtree

Generalized Linear Model Trees
party-methods

Methods for Party Objects
partysplit

Binary and Multiway Splits
ctree

Conditional Inference Trees
model.frame.rpart

Model Frame Method for rpart
nodeids

Extract Node Identifiers
party-plot

Visualization of Trees
party

Recursive Partytioning
lmtree

Linear Model Trees
partynode-methods

Methods for Node Objects
partynode

Inner and Terminal Nodes
ctree_control

Control for Conditional Inference Trees
mob_control

Control Parameters for Model-Based Partitioning
party-coercion

Coercion Functions
cforest

Conditional Random Forests
panelfunctions

Panel-Generators for Visualization of Party Trees
party-predict

Tree Predictions
mob

Model-based Recursive Partitioning