glmmsr: Fit a Generalized Linear Mixed Model
Version 0.2.0

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]
Date of publication2017-08-31 14:30:44 UTC
MaintainerHelen Ogden <[email protected]>
LicenseGPL (>= 2)
Version0.2.0
URL http://github.com/heogden/glmmsr
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("glmmsr")

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glmmsr documentation built on Aug. 31, 2017, 5:02 p.m.