glmmsel: Generalised Linear Mixed Model Selection
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>.
| Version: | 1.0.2 |
| Depends: | R (≥ 4.1.0) |
| Imports: | ggplot2, Rcpp |
| LinkingTo: | Rcpp, RcppArmadillo |
| Suggests: | testthat, knitr, rmarkdown, lme4, MASS, nlme |
| Published: | 2025-05-29 |
| DOI: | 10.32614/CRAN.package.glmmsel |
| Author: | Ryan Thompson 
[aut, cre] |
| Maintainer: | Ryan Thompson <ryan.thompson-1 at uts.edu.au> |
| BugReports: | https://github.com/ryan-thompson/glmmsel/issues |
| License: | GPL-3 |
| URL: | https://github.com/ryan-thompson/glmmsel |
| NeedsCompilation: | yes |
| Materials: | README NEWS |
| In views: | MixedModels |
| CRAN checks: | glmmsel results |
Documentation:
| Reference manual: | glmmsel.pdf |
| Vignettes: |
Guide to glmmsel (source, R code) |
Downloads:
| Package source: | glmmsel_1.0.2.tar.gz |
| Windows binaries: | r-devel: not available, r-release: glmmsel_1.0.2.zip, r-oldrel: glmmsel_1.0.2.zip |
| macOS binaries: | r-release (arm64): glmmsel_1.0.2.tgz, r-oldrel (arm64): glmmsel_1.0.2.tgz, r-release (x86_64): glmmsel_1.0.2.tgz, r-oldrel (x86_64): glmmsel_1.0.2.tgz |
Linking:
Please use the canonical form https://CRAN.R-project.org/package=glmmsel to link to this page.