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" |