party v0.9-10


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by Torsten Hothorn

A Laboratory for Recursive Part(y)itioning

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. Similar in spirit, the function mob() implements an algorithm for recursive partitioning based on parametric models (e.g. linear models, GLMs or survival regression) based on parameter instability tests. Furthermore, cforest() provides an implementation of Breiman's random forests based on conditional inference trees. Extensible functionality for visualizing tree-structured regression models is available.

Functions in party

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


Date $Date: 2007-02-28 15:19:14 +0100 (Wed, 28 Feb 2007) $
LazyLoad yes
LazyData yes
License GPL
Packaged Wed Feb 28 15:28:35 2007; hothorn

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