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additive supports Generalized Additive Models (GAM) using mgcv with parsnip/tidymodels.
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")
pak::pkg_install("hsbadr/additive")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.
To cite additive in publications, please use:
citation("additive")Hamada S. Badr (2024): additive: Bindings for Additive TidyModels, Comprehensive R Archive Network (CRAN). URL: https://hsbadr.github.io/additive/.
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.
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.