| BinaryTree-class | Class "BinaryTree" |
| cforest | Random Forest |
| cforest_classical | Control for Conditional Tree Forests |
| cforest_control | Control for Conditional Tree Forests |
| cforest_unbiased | Control for Conditional Tree Forests |
| coef.mob | Model-based Recursive Partitioning |
| conditionalTree | Conditional Inference Trees |
| ctree | Conditional Inference Trees |
| ctree_control | Control for Conditional Inference Trees |
| deviance.mob | Model-based Recursive Partitioning |
| edge_simple | Panel-Generators for Visualization of Party Trees |
| ff_trafo | Function for Data Transformations |
| fit-method | Fit 'StatModel' Objects to Data |
| fit-methods | Fit 'StatModel' Objects to Data |
| fitted.mob | Model-based Recursive Partitioning |
| ForestControl-class | Class "ForestControl" |
| initialize | Methods for Function initialize in Package 'party' |
| initialize-method | Methods for Function initialize in Package 'party' |
| initialize-methods | Methods for Function initialize in Package 'party' |
| initVariableFrame | Set-up VariableFrame objects |
| initVariableFrame-method | Set-up VariableFrame objects |
| initVariableFrame-methods | Set-up VariableFrame objects |
| LearningSample-class | Class "LearningSample" |
| logLik.mob | Model-based Recursive Partitioning |
| mob | Model-based Recursive Partitioning |
| mob-class | Model-based Recursive Partitioning |
| mob_control | Control Parameters for Model-based Partitioning |
| nodes | Class "BinaryTree" |
| nodes-method | Class "BinaryTree" |
| nodes-methods | Class "BinaryTree" |
| node_barplot | Panel-Generators for Visualization of Party Trees |
| node_bivplot | Panel-Generators for Visualization of Party Trees |
| node_boxplot | Panel-Generators for Visualization of Party Trees |
| node_density | Panel-Generators for Visualization of Party Trees |
| node_hist | Panel-Generators for Visualization of Party Trees |
| node_inner | Panel-Generators for Visualization of Party Trees |
| node_scatterplot | Panel-Generators for Visualization of Party Trees |
| node_surv | Panel-Generators for Visualization of Party Trees |
| node_terminal | Panel-Generators for Visualization of Party Trees |
| plot.BinaryTree | Visualization of Binary Regression Trees |
| plot.mob | Visualization of MOB Trees |
| predict.mob | Model-based Recursive Partitioning |
| prettytree | Print a tree. |
| print.mob | Model-based Recursive Partitioning |
| proximity | Random Forest |
| ptrafo | Function for Data Transformations |
| RandomForest-class | Class "RandomForest" |
| readingSkills | Reading Skills |
| residuals.mob | Model-based Recursive Partitioning |
| response | Class "BinaryTree" |
| response-method | Class "BinaryTree" |
| response-methods | Class "BinaryTree" |
| reweight | Re-fitting Models with New Weights |
| reweight.glinearModel | Re-fitting Models with New Weights |
| reweight.linearModel | Re-fitting Models with New Weights |
| sctest.mob | Model-based Recursive Partitioning |
| show-method | Class "BinaryTree" |
| show-method | Class "RandomForest" |
| SplittingNode-class | Class "SplittingNode" |
| summary.mob | Model-based Recursive Partitioning |
| TerminalModelNode-class | Class "SplittingNode" |
| TerminalNode-class | Class "SplittingNode" |
| TreeControl | Class "TreeControl" |
| TreeControl-class | Class "TreeControl" |
| treeresponse | Class "BinaryTree" |
| treeresponse-method | Class "BinaryTree" |
| treeresponse-method | Class "RandomForest" |
| treeresponse-methods | Class "BinaryTree" |
| varimp | Variable Importance |
| varimpAUC | Variable Importance |
| weights | Class "BinaryTree" |
| weights-method | Class "BinaryTree" |
| weights-method | Class "RandomForest" |
| weights-methods | Class "BinaryTree" |
| weights.mob | Model-based Recursive Partitioning |
| where | Class "BinaryTree" |
| where-method | Class "BinaryTree" |
| where-method | Class "RandomForest" |
| where-methods | Class "BinaryTree" |