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party (version 1.0-21)

A Laboratory for Recursive Partytioning

Description

A computational toolbox for recursive partitioning. The core of the package is ctree(), an implementation of conditional inference trees which embed tree-structured regression models into a well defined theory of conditional inference procedures. This non-parametric class of regression trees is applicable to all kinds of regression problems, including nominal, ordinal, numeric, censored as well as multivariate response variables and arbitrary measurement scales of the covariates. Based on conditional inference trees, cforest() provides an implementation of Breiman's random forests. The function mob() implements an algorithm for recursive partitioning based on parametric models (e.g. linear models, GLMs or survival regression) employing parameter instability tests for split selection. Extensible functionality for visualizing tree-structured regression models is available.

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Version

Install

install.packages('party')

Monthly Downloads

16,447

Version

1.0-21

License

GPL-2

Maintainer

Torsten Hothorn

Last Published

June 6th, 2015

Functions in party (1.0-21)

LearningSample Class

Class "LearningSample"
SplittingNode Class

Class "SplittingNode"
Control ctree Hyper Parameters

Control for Conditional Inference Trees
prettytree

Print a tree.
Conditional Inference Trees

Conditional Inference Trees
Control Forest Hyper Parameters

Control for Conditional Tree Forests
cforest

Random Forest
mob

Model-based Recursive Partitioning
Initialize Methods

Methods for Function initialize in Package `party'
Plot BinaryTree

Visualization of Binary Regression Trees
BinaryTree Class

Class "BinaryTree"
reweight

Re-fitting Models with New Weights
ForestControl-class

Class "ForestControl"
Fit Methods

Fit `StatModel' Objects to Data
Memory Allocation

Memory Allocation
initVariableFrame-methods

Set-up VariableFrame objects
readingSkills

Reading Skills
Panel Generating Functions

Panel-Generators for Visualization of Party Trees
TreeControl Class

Class "TreeControl"
mob_control

Control Parameters for Model-based Partitioning
Transformations

Function for Data Transformations
plot.mob

Visualization of MOB Trees
varimp

Variable Importance
RandomForest-class

Class "RandomForest"