multilevelmod: Model Wrappers for Multi-Level Models

Bindings for hierarchical regression models for use with the 'parsnip' package. Models include longitudinal generalized linear models (Liang and Zeger, 1986) <doi:10.1093/biomet/73.1.13>, and mixed-effect models (Pinheiro and Bates) <doi:10.1007/978-1-4419-0318-1_1>.

Version: 1.0.0
Depends: parsnip (≥ 1.0.0), R (≥ 2.10)
Imports: dplyr, lme4, purrr, rlang, tibble, withr
Suggests: covr, gee, ggplot2, knitr, nlme, rmarkdown, spelling, testthat, tidymodels
Published: 2022-06-17
Author: Max Kuhn ORCID iD [aut], Hannah Frick ORCID iD [aut, cre], RStudio [cph, fnd]
Maintainer: Hannah Frick <hannah at rstudio.com>
License: MIT + file LICENSE
URL: https://github.com/tidymodels/multilevelmod, http://multilevelmod.tidymodels.org/
NeedsCompilation: no
Language: en-US
Materials: README NEWS
In views: MixedModels
CRAN checks: multilevelmod results

Documentation:

Reference manual: multilevelmod.pdf
Vignettes: Get Started

Downloads:

Package source: multilevelmod_1.0.0.tar.gz
Windows binaries: r-devel: multilevelmod_1.0.0.zip, r-release: multilevelmod_1.0.0.zip, r-oldrel: multilevelmod_1.0.0.zip
macOS binaries: r-release (arm64): multilevelmod_1.0.0.tgz, r-oldrel (arm64): multilevelmod_1.0.0.tgz, r-release (x86_64): multilevelmod_1.0.0.tgz
Old sources: multilevelmod archive

Reverse dependencies:

Reverse suggests: tidyAML

Linking:

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