Nothing
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>.
Getting started
Browse package contents
Package details |
|
|---|---|
| Author | Ryan Thompson [aut, cre] (ORCID: <https://orcid.org/0000-0002-9002-0448>) |
| Maintainer | Ryan Thompson <ryan.thompson-1@uts.edu.au> |
| License | GPL-3 |
| Version | 1.0.2 |
| URL | https://github.com/ryan-thompson/glmmsel |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
|
Try the glmmsel package in your browser
Any scripts or data that you put into this service are public.
