Nothing
rpql: Regularized PQL for Joint Selection in GLMMs
Performs joint selection in Generalized Linear Mixed Models (GLMMs) using penalized likelihood methods. Specifically, the Penalized Quasi-Likelihood (PQL) is used as a loss function, and penalties are then augmented to perform simultaneous fixed and random effects selection. Regularized PQL avoids the need for integration (or approximations such as the Laplace's method) during the estimation process, and so the full solution path for model selection can be constructed relatively quickly.
Getting started
Browse package contents
Package details |
|
|---|---|
| Author | Francis K.C. Hui <francis.hui@gmail.com>, with contributions from Samuel Mueller <samuel.mueller@sydney.edu.au> and A.H. Welsh <Alan.Welsh@anu.edu.au> |
| Maintainer | Francis Hui <fhui28@gmail.com> |
| License | GPL-2 |
| Version | 0.8.1 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
|
Try the rpql package in your browser
Any scripts or data that you put into this service are public.
