glmmsr: Fit a Generalized Linear Mixed Model

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

AuthorHelen Ogden [aut, cre]
MaintainerHelen Ogden <>
LicenseGPL (>= 2)
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:

Try the glmmsr package in your browser

Any scripts or data that you put into this service are public.

glmmsr documentation built on May 2, 2019, 2:12 p.m.