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. See 'Cyprien Mbogning et al.'(2014)<doi:10.1186/2043-9113-4-6> and 'Cyprien Mbogning et al.'(2015)<doi:10.1159/000380850> for an overview of all the methods implemented in this package.

Version: 1.5
Depends: rpart , parallel
Published: 2024-03-28
DOI: 10.32614/CRAN.package.GPLTR
Author: Cyprien Mbogning and Wilson Toussile
Maintainer: Cyprien Mbogning <cyprien.mbogning at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2.0)]
NeedsCompilation: no
CRAN checks: GPLTR results


Reference manual: GPLTR.pdf
Vignettes: intro


Package source: GPLTR_1.5.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): GPLTR_1.5.tgz, r-oldrel (arm64): GPLTR_1.5.tgz, r-release (x86_64): GPLTR_1.5.tgz, r-oldrel (x86_64): GPLTR_1.5.tgz
Old sources: GPLTR archive


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