Fit Generalized Additive Models (GAM) using 'mgcv' with 'parsnip'/'tidymodels' via 'additive' <doi:10.5281/zenodo.6654298>. 'tidymodels' is a collection of packages for machine learning; see Kuhn and Wickham (2020) <https://www.tidymodels.org>). The technical details of 'mgcv' are described in Wood (2017) <doi:10.1201/9781315370279>.
Version: | 0.0.5 |
Depends: | mgcv (≥ 1.8-40), parsnip (≥ 1.0.0), R (≥ 4.1.0) |
Imports: | dplyr, purrr, rlang, stats, tibble, utils |
Suggests: | covr, devtools, knitr, recipes, rmarkdown, roxygen2, spelling, testthat, workflows |
Published: | 2022-06-16 |
Author: | Hamada S. Badr [aut, cre] |
Maintainer: | Hamada S. Badr <badr at jhu.edu> |
BugReports: | https://github.com/hsbadr/additive/issues |
License: | MIT + file LICENSE |
URL: | https://hsbadr.github.io/additive/, https://github.com/hsbadr/additive |
NeedsCompilation: | no |
Language: | en-US |
Citation: | additive citation info |
Materials: | README NEWS |
CRAN checks: | additive results |
Reference manual: | additive.pdf |
Vignettes: |
Bug Reporting Getting Started |
Package source: | additive_0.0.5.tar.gz |
Windows binaries: | r-devel: additive_0.0.5.zip, r-release: additive_0.0.5.zip, r-oldrel: additive_0.0.5.zip |
macOS binaries: | r-release (arm64): additive_0.0.5.tgz, r-oldrel (arm64): additive_0.0.5.tgz, r-release (x86_64): additive_0.0.5.tgz, r-oldrel (x86_64): additive_0.0.5.tgz |
Old sources: | additive archive |
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