Bindings for Generalized Additive Models (GAM)

additive supports Generalized Additive Models (GAM) using mgcv with parsnip/tidymodels.

Installation

The stable version of additive can be installed from CRAN using:

install.packages("additive")

The development version of additive can be installed from GitHub using:

install.packages("pak", repos = "https://r-lib.github.io/p/pak/dev/")
pak::pkg_install("hsbadr/additive")

Example

library(additive)

set.seed(2020)
dat <- gamSim(1, n = 400, dist = "normal", scale = 2)

additive_mod <-
  additive() %>%
  set_engine("mgcv") %>%
  fit(
    y ~ s(x0) + s(x1) + s(x2) + s(x3),
    data = dat
  )

summary(additive_mod$fit)

For more details, get started with additive.

Citation

To cite additive in publications, please use:

citation("additive")

Hamada S. Badr (2021): additive: Bindings for Generalized Additive Models (GAM), Comprehensive R Archive Network (CRAN). URL: https://hsbadr.github.io/additive/.

Contributing

This project is released with a Contributor Code of Conduct. By contributing to this project, you agree to abide by its terms.

• For questions and discussions about tidymodels packages, modeling, and machine learning, please post on RStudio Community.

• If you think you have encountered a bug, please submit an issue.

• Either way, learn how to create and share a reprex (a minimal, reproducible example), to clearly communicate about your code.

• Check out further details on contributing guidelines for tidymodels packages and how to get help.