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by Torsten Hothorn

A Laboratory for Recursive Partytioning

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.

Functions in party

Name Description
RandomForest-class Class "RandomForest"
Control ctree Hyper Parameters Control for Conditional Inference Trees
Conditional Inference Trees Conditional Inference Trees
LearningSample Class Class "LearningSample"
mob_control Control Parameters for Model-based Partitioning
mammoexp Mammography Experience Study
BinaryTree Class Class "BinaryTree"
Fit Methods Fit `StatModel' Objects to Data
mob Model-based Recursive Partitioning
Initialize Methods Methods for Function initialize in Package `party'
varimp Variable Importance
SplittingNode Class Class "SplittingNode"
ForestControl-class Class "ForestControl"
readingSkills Reading Skills
Transformations Function for Data Transformations
Panel Generating Functions Panel-Generators for Visualization of Party Trees
Control Forest Hyper Parameters Control for Conditional Tree Forests
TreeControl Class Class "TreeControl"
Memory Allocation Memory Allocation
cforest Random Forest
reweight Re-fitting Models with New Weights
Plot BinaryTree Visualization of Binary Regression Trees
plot.mob Visualization of MOB Trees
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Details

Date 2010-09-13
LazyLoad yes
LazyData yes
License GPL-2
Packaged 2010-09-13 12:11:04 UTC; hothorn
Repository CRAN
Date/Publication 2010-09-13 17:48:40

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