Man pages for party
A Laboratory for Recursive Partytioning

BinaryTree-classClass "BinaryTree"
cforestRandom Forest
cforest_controlControl for Conditional Tree Forests
ctreeConditional Inference Trees
ctree_controlControl for Conditional Inference Trees
fit-methodsFit 'StatModel' Objects to Data
ForestControl-classClass "ForestControl"
initialize-methodsMethods for Function initialize in Package 'party'
initVariableFrame-methodsSet-up VariableFrame objects
LearningSample-classClass "LearningSample"
mobModel-based Recursive Partitioning
mob_controlControl Parameters for Model-based Partitioning
panelfunctionsPanel-Generators for Visualization of Party Trees
party_internCall internal functions.
plot.BinaryTreeVisualization of Binary Regression Trees
plot.mobVisualization of MOB Trees
prettytreePrint a tree.
RandomForest-classClass "RandomForest"
readingSkillsReading Skills
reweightRe-fitting Models with New Weights
SplittingNode-classClass "SplittingNode"
TransformationsFunction for Data Transformations
TreeControl-classClass "TreeControl"
varimpVariable Importance
party documentation built on May 30, 2017, 8:24 a.m.