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>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.0.3 |
rolling linux/jammy R-4.5 | glmmsel_1.0.3.tar.gz |
178.1 KiB |
1.0.3 |
rolling linux/noble R-4.5 | glmmsel_1.0.3.tar.gz |
182.2 KiB |
1.0.3 |
rolling source/ R- | glmmsel_1.0.3.tar.gz |
33.0 KiB |
1.0.3 |
latest linux/jammy R-4.5 | glmmsel_1.0.3.tar.gz |
178.1 KiB |
1.0.3 |
latest linux/noble R-4.5 | glmmsel_1.0.3.tar.gz |
182.2 KiB |
1.0.3 |
latest source/ R- | glmmsel_1.0.3.tar.gz |
33.0 KiB |
1.0.3 |
2026-04-26 source/ R- | glmmsel_1.0.3.tar.gz |
33.0 KiB |
1.0.3 |
2026-04-23 source/ R- | glmmsel_1.0.3.tar.gz |
33.0 KiB |
1.0.3 |
2026-04-09 windows/windows R-4.5 | glmmsel_1.0.3.zip |
502.1 KiB |