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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: | 1.1.0 |
Depends: | R (≥ 2.10) |
Imports: | cli, dplyr, foreach, generics, ggplot2, lifecycle, magrittr, parsnip, purrr, recipes, rlang (≥ 0.4.11), rsample, stats, stringr, tibble, tidyr (> 0.8.99), vctrs |
Suggests: | broom, covr, doParallel, ggrepel, glmnet, glue, hardhat, knitr, parallel, patchwork, rmarkdown, roxygen2, testthat (≥ 3.0.0), tidyselect, tune, utils, vdiffr, withr, workflows |
Published: | 2023-09-30 |
DOI: | 10.32614/CRAN.package.nestedmodels |
Author: | Ashby Thorpe |
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 |
Reference manual: | nestedmodels.pdf |
Vignettes: |
Nestedmodels Limitations Getting started with nestedmodels |
Package source: | nestedmodels_1.1.0.tar.gz |
Windows binaries: | r-devel: nestedmodels_1.1.0.zip, r-release: nestedmodels_1.1.0.zip, r-oldrel: nestedmodels_1.1.0.zip |
macOS binaries: | r-release (arm64): nestedmodels_1.1.0.tgz, r-oldrel (arm64): nestedmodels_1.1.0.tgz, r-release (x86_64): nestedmodels_1.1.0.tgz, r-oldrel (x86_64): nestedmodels_1.1.0.tgz |
Old sources: | nestedmodels archive |
Reverse suggests: | butcher |
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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.