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glmmEP  

Generalized Linear Mixed Model Analysis via Expectation Propagation
View on CRAN: Click here


Download and install glmmEP package within the R console
Install from CRAN:
install.packages("glmmEP")

Install from Github:
library("remotes")
install_github("cran/glmmEP")

Install by package version:
library("remotes")
install_version("glmmEP", "1.0-3.1")



Attach the package and use:
library("glmmEP")
Maintained by
Matt P. Wand
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-05-29
Latest Update: 2019-10-15
Description:
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) .
How to cite:
Matt P. Wand (2018). glmmEP: Generalized Linear Mixed Model Analysis via Expectation Propagation. R package version 1.0-3.1, https://cran.r-project.org/web/packages/glmmEP. Accessed 06 Aug. 2026.
Previous versions and publish date:
(2026-07-09 07:44), 1.0-1 (2018-05-29 10:31), 1.0-2 (2019-09-16 12:40), 1.0-3 (2019-10-13 18:30)
Other packages that cited glmmEP R package
View glmmEP citation profile
Other R packages that glmmEP depends, imports, suggests or enhances
Complete documentation for glmmEP
Functions, R codes and Examples using the glmmEP R package
Some associated functions: glmmEP.control . glmmEP . glmmEPvignette . glmmSimData . summary.glmmEP . 
Some associated R codes: Full glmmEP package functions and examples
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