Nothing
Estimates hierarchical models using mean-field variational Bayes. At present, it can estimate logistic, linear, and negative binomial models. It can accommodate models with an arbitrary number of random effects and requires no integration to estimate. It also provides the ability to improve the quality of the approximation using marginal augmentation. Goplerud (2022) <doi:10.1214/21-BA1266> and Goplerud (2024) <doi:10.1017/S0003055423000035> provide details on the variational algorithms.
Package details |
|
---|---|
Author | Max Goplerud [aut, cre] |
Maintainer | Max Goplerud <mgoplerud@austin.utexas.edu> |
License | GPL (>= 2) |
Version | 1.0.5 |
URL | https://github.com/mgoplerud/vglmer |
Package repository | View on CRAN |
Installation |
Install the latest version of this package by entering the following in R:
|
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.