autogam: Automate the Creation of Generalized Additive Models (GAMs)

This wrapper package for 'mgcv' makes it easier to create high-performing Generalized Additive Models (GAMs). With its central function autogam(), by entering just a dataset and the name of the outcome column as inputs, 'AutoGAM' tries to automate the procedure of configuring a highly accurate GAM which performs at reasonably high speed, even for large datasets.

Version:	0.1.0
Depends:	R (≥ 4.2.0)
Imports:	cli, dplyr, methods, mgcv, purrr, rlang, staccuracy, stats, stringr, univariateML
Suggests:	testthat (≥ 3.0.0)
Published:	2025-02-24
DOI:	10.32614/CRAN.package.autogam
Author:	Chitu Okoli [aut, cre]
Maintainer:	Chitu Okoli <Chitu.Okoli at skema.edu>
BugReports:	https://github.com/tripartio/autogam/issues
License:	MIT + file LICENSE
URL:	https://github.com/tripartio/autogam, https://tripartio.github.io/autogam/
NeedsCompilation:	no
Language:	en-US
Materials:	README, NEWS
CRAN checks:	autogam results

Documentation:

Reference manual:

autogam.html , autogam.pdf

Downloads:

Package source:	autogam_0.1.0.tar.gz
Windows binaries:	r-devel: autogam_0.1.0.zip, r-release: autogam_0.1.0.zip, r-oldrel: autogam_0.1.0.zip
macOS binaries:	r-release (arm64): autogam_0.1.0.tgz, r-oldrel (arm64): autogam_0.1.0.tgz, r-release (x86_64): autogam_0.1.0.tgz, r-oldrel (x86_64): autogam_0.1.0.tgz
Old sources:	autogam archive

Reverse dependencies:

Reverse suggests:

staccuracy

Linking:

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