nestedmodels: Tidy Modelling for Nested Data

A modelling framework for nested data using the 'tidymodels' ecosystem. Specify how to nest data using the 'recipes' package, create testing and training splits using 'rsample', and fit models to this data using the 'parsnip' and 'workflows' packages. Allows any model to be fit to nested data.

Version: 1.0.2
Depends: R (≥ 2.10)
Imports: cli, dplyr, forcats, generics, glue, lifecycle, magrittr, parsnip, purrr, recipes, rlang (≥ 0.4.11), rsample, stats, stringr, tibble, tidyr (> 0.8.99), vctrs
Suggests: broom, covr, glmnet, hardhat, knitr, rmarkdown, roxygen2, testthat (≥ 3.0.0), tidyselect, tune, utils, withr, workflows
Published: 2022-11-03
Author: Ashby Thorpe ORCID iD [aut, cre], Hadley Wickham ORCID iD [ctb]
Maintainer: Ashby Thorpe <ashbythorpe at gmail.com>
BugReports: https://github.com/ashbythorpe/nestedmodels/issues
License: MIT + file LICENSE
URL: https://github.com/ashbythorpe/nestedmodels, https://ashbythorpe.github.io/nestedmodels/
NeedsCompilation: no
Language: en-GB
Materials: README NEWS
CRAN checks: nestedmodels results

Documentation:

Reference manual: nestedmodels.pdf
Vignettes: Nestedmodels Limitations
Getting started with nestedmodels

Downloads:

Package source: nestedmodels_1.0.2.tar.gz
Windows binaries: r-devel: nestedmodels_1.0.2.zip, r-release: nestedmodels_1.0.2.zip, r-oldrel: nestedmodels_1.0.2.zip
macOS binaries: r-release (arm64): nestedmodels_1.0.2.tgz, r-oldrel (arm64): nestedmodels_1.0.2.tgz, r-release (x86_64): nestedmodels_1.0.2.tgz, r-oldrel (x86_64): nestedmodels_1.0.2.tgz
Old sources: nestedmodels archive

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