Package: glmmEP
Version: 1.0-4
Date: 2026-09-08
Title: Generalized Linear Mixed Model Analysis via Expectation
        Propagation
Authors@R: c(person("Matt P.", "Wand", role = c("aut", "cre"),
                    email = "matt.wand@uts.edu.au"),
             person("James C.F.", "Yu", role = "aut",
                    email = "jamescfyu@gmail.com"),
             person("Cleve", "Moler", role = "ctb",
                    comment = "LINPACK routines in src"))
Maintainer: Matt P. Wand <matt.wand@uts.edu.au>
Depends: stats
Imports: lme4, matrixcalc
Suggests: mlmRev
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 (Journal of the American Statistical
        Association, 2020).
License: GPL (>= 2)
NeedsCompilation: yes
Packaged: 2026-10-08 08:53:40 UTC; root
Author: Matt P. Wand [aut, cre], James C.F. Yu [aut], Cleve Moler [ctb]
        (LINPACK routines in src)
Config/pak/sysreqs: cmake make
Repository: https://mattwand.r-universe.dev
Date/Publication: 2026-09-08 04:51:15 UTC
RemoteUrl: https://github.com/cran/glmmEP
RemoteRef: HEAD
RemoteSha: 2727d9e73fdd9725e65ebdc266c43aae8a7343f8