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 Thompson, Wand, and Wang (2025) <doi:10.48550/arXiv.2506.20425>.
| Version: | 1.0.3 |
| Depends: | R (≥ 4.1.0) |
| Imports: | ggplot2, Rcpp |
| LinkingTo: | Rcpp, RcppArmadillo |
| Suggests: | testthat, knitr, rmarkdown, lme4, MASS, nlme |
| Published: | 2025-06-26 |
| DOI: | 10.32614/CRAN.package.glmmsel |
| Author: | Ryan Thompson |
| 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 |
| Citation: | glmmsel citation info |
| Materials: | README, NEWS |
| In views: | MixedModels |
| CRAN checks: | glmmsel results |
| Reference manual: | glmmsel.html , glmmsel.pdf |
| Vignettes: |
Guide to glmmsel (source, R code) |
| Package source: | glmmsel_1.0.3.tar.gz |
| Windows binaries: | r-devel: glmmsel_1.0.3.zip, r-release: glmmsel_1.0.3.zip, r-oldrel: glmmsel_1.0.3.zip |
| macOS binaries: | r-release (arm64): glmmsel_1.0.3.tgz, r-oldrel (arm64): glmmsel_1.0.3.tgz, r-release (x86_64): glmmsel_1.0.3.tgz, r-oldrel (x86_64): glmmsel_1.0.3.tgz |
| Old sources: | glmmsel archive |
Please use the canonical form https://CRAN.R-project.org/package=glmmsel to link to this page.
Need a high-speed mirror for your open-source project?
Contact our mirror admin team at info@clientvps.com.
This archive is provided as a free public service to the community.
Proudly supported by infrastructure from VPSPulse , RxServers , BuyNumber , UnitVPS , OffshoreName and secure payment technology by ArionPay.