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additive: Bindings for Additive TidyModels

Fit Generalized Additive Models (GAM) using 'mgcv' with 'parsnip'/'tidymodels' via 'additive' <doi:10.5281/zenodo.4784245>. '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: 1.0.1
Depends: mgcv (≥ 1.9-1), parsnip (≥ 1.2.1), R (≥ 4.1.0)
Imports: dplyr, purrr, rlang, stats, tibble, utils
Suggests: covr, devtools, knitr, recipes, rmarkdown, roxygen2, spelling, testthat, workflows
Published: 2024-04-28
Author: Hamada S. Badr ORCID iD [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

Documentation:

Reference manual: additive.pdf
Vignettes: Bug Reporting
Getting Started

Downloads:

Package source: additive_1.0.1.tar.gz
Windows binaries: r-devel: additive_1.0.1.zip, r-release: additive_1.0.1.zip, r-oldrel: additive_1.0.1.zip
macOS binaries: r-release (arm64): additive_1.0.1.tgz, r-oldrel (arm64): additive_1.0.1.tgz, r-release (x86_64): additive_1.0.1.tgz, r-oldrel (x86_64): additive_1.0.1.tgz
Old sources: additive archive

Linking:

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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.
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