R: Generalized Partially Linear Tree-Based Regression Model

# Generalized Partially Linear Tree-Based Regression Model

## Documentation for package ‘GPLTR’ version 1.5

- DESCRIPTION file
- User guides, package vignettes and other documentation

## Help Pages

GPLTR-package | Fit a generalized partially linear tree-based regression model
bag.aucoob | AUC on the Out Of Bag samples
bagging.pltr | bagging pltr models
best.tree.BIC.AIC | Prunning the Maximal tree
best.tree.bootstrap | parametric bootstrap on a pltr model
best.tree.CV | Prunning the Maximal tree
best.tree.permute | permutation test on a pltr model
burn | burn dataset
data_pltr | gpltr data example
GPLTR | Fit a generalized partially linear tree-based regression model
nested.trees | compute the nested trees
p.val.tree | Compute the p-value
pltr.glm | Partially tree-based regression model function
predict_bagg.pltr | prediction on new features
predict_pltr | prediction
tree2glm | tree to GLM
tree2indicators | From a tree to indicators (or dummy variables)
VIMPBAG | score of importance for variables