Package: jglmm
Type: Package
Version: 0.1.0.9001
Title: Generalized Mixed-Effects Models in Julia
Description: R package for interfacing with Julia's MixedModels library
        to fit generalized linear mixed-effects models, similar to the
        lme4 package in R
        (<http://dmbates.github.io/MixedModels.jl/latest/>).
Authors@R: c(
    person("Mika", "Braginsky", email = "mika.br@gmail.com", role = c("aut", "cre"))
  )
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1.0)
License: GPL-3
URL: https://github.com/mikabr/jglmm
BugReports: http://github.com/mikabr/jglmm/issues
Imports: dplyr (>= 0.7.4), generics (>= 0.0.2), glue (>= 1.3.0),
        JuliaCall (>= 0.13.0), purrr (>= 0.2.4), lme4, rlang (>=
        0.3.0), stringr (>= 1.3.1), tidyr
RoxygenNote: 7.2.0
SystemRequirements: Julia >= 1.5.0, RCall.jl, DataFrames.jl,
        MixedModels.jl, StatsModels.jl
Suggests: testthat (>= 3.0.0)
Config/testthat/edition: 3
Collate: 'data.R' 'fit.R' 'extract.R' 'fit_stats.R' 'jglmm-package.R'
        'predict.R' 'tidyers.R'
Repository: https://mikabr.r-universe.dev
Date/Publication: 2022-11-11 19:09:14 UTC
RemoteUrl: https://github.com/mikabr/jglmm
RemoteRef: HEAD
RemoteSha: 7378659a89511c768a06d2f3afe45754bf4868e2
NeedsCompilation: no
Packaged: 2026-09-21 11:28:07 UTC; root
Author: Mika Braginsky [aut, cre]
Maintainer: Mika Braginsky <mika.br@gmail.com>