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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: | 0.0.1 |
Imports: | dplyr, mgcv, purrr, stats, stringr |
Suggests: | testthat (≥ 3.0.0) |
Published: | 2024-10-02 |
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 |
Reference manual: | autogam.pdf |
Package source: | autogam_0.0.1.tar.gz |
Windows binaries: | r-devel: autogam_0.0.1.zip, r-release: autogam_0.0.1.zip, r-oldrel: autogam_0.0.1.zip |
macOS binaries: | r-release (arm64): autogam_0.0.1.tgz, r-oldrel (arm64): not available, r-release (x86_64): autogam_0.0.1.tgz, r-oldrel (x86_64): autogam_0.0.1.tgz |
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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.