Generalized Partially Linear Tree-Based Regression Model

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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