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GPLTR
View on CRAN: Click
here
Download and install GPLTR package within the R console
Install from CRAN:
install.packages("GPLTR")
Install from Github:
library("remotes")
install_github("cran/GPLTR") Install by package version:
library("remotes")
install_version("GPLTR", "1.5") Attach the package and use:
library("GPLTR")
Maintained by
Cyprien Mbogning
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2014-04-23
Latest Update: 2024-03-28
Description:
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) and
'Cyprien Mbogning et al.'(2015)
for an overview of all the methods implemented in this package.
How to cite:
Cyprien Mbogning (2014). GPLTR: Generalized Partially Linear Tree-Based Regression Model. R package version 1.5, https://cran.r-project.org/web/packages/GPLTR. Accessed 05 Aug. 2026.
Previous versions and publish date:
Other packages that cited GPLTR R package
View GPLTR citation profile
Other R packages that GPLTR depends,
imports, suggests or enhances
Complete documentation for GPLTR
Functions, R codes and Examples using
the GPLTR R package
Some associated functions: GPLTR-package . VIMPBAG . bag.aucoob . bagging.pltr . best.tree.BIC.AIC . best.tree.CV . best.tree.bootstrap . best.tree.permute . burn . data_pltr . nested.trees . p.val.tree . pltr.glm . predict_bagg.pltr . predict_pltr . tree2glm . tree2indicators .
Some associated R codes: Imp_Score.R . Logistic_Split_Rpart.R . bag.aucoob.R . bagging.pltr.R . best.tree.BIC.AIC.R . best.tree.CV.R . best.tree.bootstrap.R . best.tree.permute.R . nested.trees.R . norm2.R . p.val.tree.R . pltr.glm.R . predict_bagg.pltr.R . predict_pltr.R . tree2glm.R . tree2indicators.R . Full GPLTR package functions and examples
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