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 
[aut, cre],
Hadley Wickham
[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 |