Package: glmmsel 1.0.3

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 Thompson, Wand, and Wang (2025) <doi:10.48550/arXiv.2506.20425>.

Authors:Ryan Thompson [aut, cre]

glmmsel_1.0.3.tar.gz
glmmsel_1.0.3.zip(r-4.7)glmmsel_1.0.3.zip(r-4.6)glmmsel_1.0.3.zip(r-4.5)
glmmsel_1.0.3.tgz(r-4.6-x86_64)glmmsel_1.0.3.tgz(r-4.6-arm64)glmmsel_1.0.3.tgz(r-4.5-x86_64)glmmsel_1.0.3.tgz(r-4.5-arm64)
glmmsel_1.0.3.tar.gz(r-4.7-arm64)glmmsel_1.0.3.tar.gz(r-4.7-x86_64)glmmsel_1.0.3.tar.gz(r-4.6-arm64)glmmsel_1.0.3.tar.gz(r-4.6-x86_64)
glmmsel_1.0.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
glmmsel/json (API)
NEWS

# Install 'glmmsel' in R:
install.packages('glmmsel', repos = c('https://ryan-thompson.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/ryan-thompson/glmmsel/issues

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

openblascpp

4.18 score 5 scripts 231 downloads 4 exports 19 dependencies

Last updated from:c7e3dc3fa5. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK185
linux-devel-x86_64OK181
source / vignettesOK245
linux-release-arm64OK190
linux-release-x86_64OK181
macos-release-arm64OK170
macos-release-x86_64OK581
macos-oldrel-arm64OK151
macos-oldrel-x86_64OK307
windows-develOK171
windows-releaseOK180
windows-oldrelOK189
wasm-releaseOK145

Exports:cv.glmmselfixefglmmselranef

Dependencies:clicpp11farverggplot2gluegtableisobandlabelinglifecycleR6RColorBrewerRcppRcppArmadillorlangS7scalesvctrsviridisLitewithr

Guide to glmmsel

Rendered fromvignette.Rmdusingknitr::rmarkdownon May 22 2026.

Last update: 2025-05-21
Started: 2025-05-21