Man pages for party
A Laboratory for Recursive Partytioning
| BinaryTree-class | Class "BinaryTree" |
| cforest | Random Forest |
| cforest_control | Control for Conditional Tree Forests |
| ctree | Conditional Inference Trees |
| ctree_control | Control for Conditional Inference Trees |
| fit-methods | Fit 'StatModel' Objects to Data |
| ForestControl-class | Class "ForestControl" |
| initialize-methods | Methods for Function initialize in Package 'party' |
| initVariableFrame-methods | Set-up VariableFrame objects |
| LearningSample-class | Class "LearningSample" |
| mob | Model-based Recursive Partitioning |
| mob_control | Control Parameters for Model-based Partitioning |
| panelfunctions | Panel-Generators for Visualization of Party Trees |
| party_intern | Call internal functions. |
| plot.BinaryTree | Visualization of Binary Regression Trees |
| plot.mob | Visualization of MOB Trees |
| prettytree | Print a tree. |
| RandomForest-class | Class "RandomForest" |
| readingSkills | Reading Skills |
| reweight | Re-fitting Models with New Weights |
| SplittingNode-class | Class "SplittingNode" |
| Transformations | Function for Data Transformations |
| TreeControl-class | Class "TreeControl" |
| varimp | Variable Importance |
