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
DOI:	10.32614/CRAN.package.multilevelmod
Author:	Max Kuhn [aut], Hannah Frick [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.html , multilevelmod.pdf
Vignettes:	Get Started (source, R code)

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, r-oldrel (x86_64): multilevelmod_1.0.0.tgz
Old sources:	multilevelmod archive

Reverse dependencies:

Reverse suggests:

tidyAML

Linking:

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