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" |