Package: additive 1.0.1

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>.

Authors:Hamada S. Badr [aut, cre]

additive_1.0.1.tar.gz
additive_1.0.1.zip(r-4.7)additive_1.0.1.zip(r-4.6)additive_1.0.1.zip(r-4.5)
additive_1.0.1.tgz(r-4.6-any)additive_1.0.1.tgz(r-4.5-any)
additive_1.0.1.tar.gz(r-4.7-any)additive_1.0.1.tar.gz(r-4.6-any)
additive_1.0.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
additive/json (API)
NEWS

# Install 'additive' in R:

install.packages('additive', repos = c('https://hsbadr.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/hsbadr/additive/issues

Pkgdown/docs site:https://hsbadr.github.io

On CRAN:

additive bam gam generalized-additive-models mgcv tidymodels

6.09 score 8 stars 14 scripts 702 downloads 2 exports 39 dependencies

Last updated from:9487a671f3. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	192
source / vignettes	OK	231
linux-release-x86_64	OK	191
macos-release-arm64	OK	230
macos-oldrel-arm64	OK	194
windows-devel	OK	139
windows-release	OK	279
windows-oldrel	OK	133
wasm-release	OK	140