Package: glmmsel
Type: Package
Title: Generalised Linear Mixed Model Selection
Version: 1.0.3
Authors@R: person("Ryan", "Thompson",  email = "ryan.thompson-1@uts.edu.au", role = c("aut", "cre"), 
    comment = c(ORCID = "0000-0002-9002-0448"))
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 Thompson, Wand, and Wang (2025) <doi:10.48550/arXiv.2506.20425>.
URL: https://github.com/ryan-thompson/glmmsel
BugReports: https://github.com/ryan-thompson/glmmsel/issues
License: GPL-3
Encoding: UTF-8
RoxygenNote: 7.3.2
Depends: R (>= 4.1.0)
Imports: ggplot2, Rcpp
LinkingTo: Rcpp, RcppArmadillo
Suggests: testthat, knitr, rmarkdown, lme4, MASS, nlme
VignetteBuilder: knitr
Config/testthat/edition: 3
NeedsCompilation: yes
Packaged: 2025-06-26 07:12:34 UTC; ryan
Author: Ryan Thompson [aut, cre] (ORCID:
    <https://orcid.org/0000-0002-9002-0448>)
Maintainer: Ryan Thompson <ryan.thompson-1@uts.edu.au>
Repository: CRAN
Date/Publication: 2025-06-26 08:00:02 UTC
Built: R 4.6.0; x86_64-apple-darwin20; 2025-08-18 10:59:17 UTC; unix
Archs: glmmsel.so.dSYM
