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partykit (version 1.0-5)

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.

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Version

Install

install.packages('partykit')

Monthly Downloads

22,719

Version

1.0-5

License

GPL-2 | GPL-3

Maintainer

Torsten Hothorn

Last Published

February 5th, 2016

Functions in partykit (1.0-5)

WeatherPlay

Weather Conditions and Playing a Game
partynode-methods

Methods for Node Objects
cforest

Conditional Random Forests
lmtree

Linear Model Trees
glmtree

Generalized Linear Model Trees
ctree_control

Control for Conditional Inference Trees
party

Recursive Partytioning
nodeids

Extract Node Identifiers
party-plot

Visualization of Trees
partynode

Inner and Terminal Nodes
HuntingSpiders

Abundance of Hunting Spiders
mob_control

Control Parameters for Model-Based Partitioning
party-predict

Tree Predictions
partysplit

Binary and Multiway Splits
party-coercion

Coercion Functions
model.frame.rpart

Model Frame Method for rpart
ctree

Conditional Inference Trees
panelfunctions

Panel-Generators for Visualization of Party Trees
party-methods

Methods for Party Objects
nodeapply

Apply Functions Over Nodes
mob

Model-based Recursive Partitioning