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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 |
Reference manual: | multilevelmod.pdf |
Vignettes: |
Get Started |
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 suggests: | tidyAML |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.