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 C.F. Yu [aut]
MaintainerMatt P. Wand <>
LicenseGPL (>= 2)
Package repositoryView on CRAN
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glmmEP documentation built on Oct. 30, 2019, 9:39 a.m.