glmmEP: Generalized Linear Mixed Model Analysis via Expectation Propagation

Approximate frequentist inference for generalized linear mixed model analysis with expectation propagation used to circumvent the need for multivariate integration. In this version, the random effects can be any reasonable dimension. However, only probit mixed models with one level of nesting are supported. The methodology is described in Hall, Johnstone, Ormerod, Wand and Yu (2018) <arXiv:1805.08423v1>.

Package details

AuthorMatt P. Wand [aut, cre], James F.C. Yu [aut]
MaintainerMatt P. Wand <[email protected]>
LicenseGPL (>= 2)
Version1.0-1
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("glmmEP")

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glmmEP documentation built on May 29, 2018, 9:04 a.m.