Nothing
Conduct inference about generalized linear mixed models, with a choice about which method to use to approximate the likelihood. In addition to the Laplace and adaptive Gaussian quadrature approximations, which are borrowed from 'lme4', the likelihood may be approximated by the sequential reduction approximation, or an importance sampling approximation. These methods provide an accurate approximation to the likelihood in some situations where it is not possible to use adaptive Gaussian quadrature.
Package details 


Author  Helen Ogden [aut, cre] 
Date of publication  20170831 14:30:44 UTC 
Maintainer  Helen Ogden <[email protected]> 
License  GPL (>= 2) 
Version  0.2.0 
URL  http://github.com/heogden/glmmsr 
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.