party v1.0-5

0

Monthly downloads

0th

Percentile

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
Fit Methods Fit `StatModel' Objects to Data
mob_control Control Parameters for Model-based Partitioning
BinaryTree Class Class "BinaryTree"
Control ctree Hyper Parameters Control for Conditional Inference Trees
Plot BinaryTree Visualization of Binary Regression Trees
Initialize Methods Methods for Function initialize in Package `party'
reweight Re-fitting Models with New Weights
TreeControl Class Class "TreeControl"
SplittingNode Class Class "SplittingNode"
Transformations Function for Data Transformations
cforest Random Forest
RandomForest-class Class "RandomForest"
LearningSample Class Class "LearningSample"
ForestControl-class Class "ForestControl"
Conditional Inference Trees Conditional Inference Trees
mob Model-based Recursive Partitioning
varimp Variable Importance
Panel Generating Functions Panel-Generators for Visualization of Party Trees
Memory Allocation Memory Allocation
plot.mob Visualization of MOB Trees
mammoexp Mammography Experience Study
readingSkills Reading Skills
Control Forest Hyper Parameters Control for Conditional Tree Forests
No Results!

Last month downloads

Details

Date 2013-01-07
LazyData yes
License GPL-2
Packaged 2013-01-07 13:04:29 UTC; hothorn
Repository CRAN
Date/Publication 2013-01-07 14:50:25

Include our badge in your README

[![Rdoc](http://www.rdocumentation.org/badges/version/party)](http://www.rdocumentation.org/packages/party)