GPLTR: Generalized Partially Linear Tree-Based Regression Model

Combining a generalized linear model with an additional tree part on the same scale. A four-step procedure is proposed to fit the model and test the joint effect of the selected tree part while adjusting on confounding factors. We also proposed an ensemble procedure based on the bagging to improve prediction accuracy and computed several scores of importance for variable selection.

AuthorCyprien Mbogning <> and Wilson Toussile
Date of publication2015-06-18 18:00:14
MaintainerCyprien Mbogning <>
LicenseGPL (>= 2.0)

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