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rpql  

Regularized PQL for Joint Selection in GLMMs
View on CRAN: Click here


Download and install rpql package within the R console
Install from CRAN:
install.packages("rpql")

Install from Github:
library("remotes")
install_github("cran/rpql")

Install by package version:
library("remotes")
install_version("rpql", "0.8.3")



Attach the package and use:
library("rpql")
Maintained by
Francis Hui
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-10-07
Latest Update: 2025-07-26
Description:
Performs joint selection in Generalized Linear Mixed Models (GLMMs) using penalized likelihood methods. Specifically, the Penalized Quasi-Likelihood (PQL) is used as a loss function, and penalties are then augmented to perform simultaneous fixed and random effects selection. Regularized PQL avoids the need for integration (or approximations such as the Laplace's method) during the estimation process, and so the full solution path for model selection can be constructed relatively quickly.
How to cite:
Francis Hui (2016). rpql: Regularized PQL for Joint Selection in GLMMs. R package version 0.8.3, https://cran.r-project.org/web/packages/rpql. Accessed 18 Sep. 2026.
Previous versions and publish date:
(2026-09-07 00:10), 0.5 (2016-10-07 09:23), 0.6 (2018-04-23 12:47), 0.7.1 (2020-06-05 07:10), 0.7 (2018-12-05 23:00), 0.8.1 (2023-08-20 00:50), 0.8.2 (2025-07-26 08:10), 0.8.3 (2025-12-17 22:50), 0.8 (2020-06-16 15:10)
Other packages that cited rpql R package
View rpql citation profile
Other R packages that rpql depends, imports, suggests or enhances
Complete documentation for rpql
Functions, R codes and Examples using the rpql R package
Some associated functions: build.start.fit . calc.marglogL . gendat.glmm . lseq . nb2 . rpql-package . rpql . rpqlseq . summary.rpql . 
Some associated R codes: RcppExports.R . auxilaryfunctions.R . hiddenfunctions.R . rpql-main.R . summaryfunctions.R .  Full rpql package functions and examples
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