GPLTR-package           Fit a generalized partially linear tree-based
                        regression model
VIMPBAG                 score of importance for variables
bag.aucoob              AUC on the Out Of Bag samples
bagging.pltr            bagging pltr models
best.tree.BIC.AIC       Prunning the Maximal tree
best.tree.CV            Prunning the Maximal tree
best.tree.bootstrap     parametric bootstrap on a pltr model
best.tree.permute       permutation test on a pltr model
burn                    burn dataset
data_pltr               gpltr data example
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)
