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GPLTR  

Generalized Partially Linear Tree-Based Regression Model
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]
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 15 Jul. 2026.
Previous versions and publish date:
0.85 (2014-04-23 06:54), 0.95 (2014-05-27 17:21), 1.1 (2014-12-19 19:53), 1.2 (2015-06-18 18:00), 1.3 (2022-04-10 00:32), 1.4 (2023-08-26 19:50), (2026-07-09 08:05)
Other packages that cited GPLTR R package
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Complete documentation for GPLTR
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