jlme: Regression Modelling with 'GLM.jl' and 'MixedModels.jl' in 'Julia'

Bindings to 'Julia' packages 'GLM.jl' <doi:10.5281/zenodo.3376013> and 'MixedModels.jl' <doi:10.5281/zenodo.12575371>, powered by 'JuliaConnectoR'. Fits (generalized) linear (mixed-effects) regression models in 'Julia' using familiar model fitting syntax from R. Offers 'broom'-style data frame summary functionalities for 'Julia' regression models.

Version: 0.1.0
Depends: R (≥ 4.1)
Imports: generics, JuliaConnectoR, JuliaFormulae, MASS, stats, utils
Suggests: broom, broom.mixed, lme4, testthat (≥ 3.0.0)
Published: 2024-07-02
DOI: 10.32614/CRAN.package.jlme
Author: June Choe ORCID iD [aut, cre]
Maintainer: June Choe <jchoe001 at gmail.com>
License: MIT + file LICENSE
URL: https://yjunechoe.github.io/jlme/
NeedsCompilation: no
SystemRequirements: Julia (>= 1.8)
Materials: README
CRAN checks: jlme results


Reference manual: jlme.pdf


Package source: jlme_0.1.0.tar.gz
Windows binaries: r-devel: jlme_0.1.0.zip, r-release: jlme_0.1.0.zip, r-oldrel: jlme_0.1.0.zip
macOS binaries: r-release (arm64): jlme_0.1.0.tgz, r-oldrel (arm64): jlme_0.1.0.tgz, r-release (x86_64): jlme_0.1.0.tgz, r-oldrel (x86_64): jlme_0.1.0.tgz


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