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glmmsel  

Generalised Linear Mixed Model Selection
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("glmmsel", "1.0.3")



Attach the package and use:
library("glmmsel")
Maintained by
Ryan Thompson
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-05-29
Latest Update: 2025-06-26
Description:
Provides tools for fitting sparse generalised linear mixed models with l0 regularisation. Selects fixed and random effects under the hierarchy constraint that fixed effects must precede random effects. Uses coordinate descent and local search algorithms to rapidly deliver near-optimal estimates. Gaussian and binomial response families are currently supported. For more details see Stroup, Ptukhina, and Garai (2024) <doi:10.1201/9780429092060>.
How to cite:
Ryan Thompson (2025). glmmsel: Generalised Linear Mixed Model Selection. R package version 1.0.3, https://cran.r-project.org/web/packages/glmmsel. Accessed 04 Oct. 2026.
Previous versions and publish date:
(2026-07-09 07:44), 1.0.2 (2025-05-29 20:20)
Other packages that cited glmmsel R package
View glmmsel citation profile
Other R packages that glmmsel depends, imports, suggests or enhances
Complete documentation for glmmsel
Functions, R codes and Examples using the glmmsel R package
Full glmmsel package functions and examples
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