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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 gmail.com> |
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: GPLTR_1.5.zip, r-release: GPLTR_1.5.zip, r-oldrel: GPLTR_1.5.zip |
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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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.