rai: Revisiting-Alpha-Investing for Polynomial Regression

A modified implementation of stepwise regression that greedily searches the space of interactions among features in order to build polynomial regression models. Furthermore, the hypothesis tests conducted are valid-post model selection due to the use of a revisiting procedure that implements an alpha-investing rule. As a result, the set of rejected sequential hypotheses is proven to control the marginal false discover rate. When not searching for polynomials, the package provides a statistically valid algorithm to run and terminate stepwise regression. For more information, see Johnson, Stine, and Foster (2019) <doi:10.48550/arXiv.1510.06322>.

Version:	1.0.0
Imports:	stats, dplyr, ggplot2, readr, rlang
Suggests:	testthat
Published:	2019-07-02
DOI:	10.32614/CRAN.package.rai
Author:	Kory D. Johnson [aut, cre], Robert A. Stine [aut]
Maintainer:	Kory D. Johnson <korydjohnson at gmail.com>
BugReports:	https://github.com/korydjohnson/rai/issues
License:	GPL-3
URL:	https://github.com/korydjohnson/rai
NeedsCompilation:	no
Materials:	NEWS
CRAN checks:	rai results

Documentation:

Reference manual:

rai.pdf

Downloads:

Package source:	rai_1.0.0.tar.gz
Windows binaries:	r-devel: rai_1.0.0.zip, r-release: rai_1.0.0.zip, r-oldrel: rai_1.0.0.zip
macOS binaries:	r-release (arm64): rai_1.0.0.tgz, r-oldrel (arm64): rai_1.0.0.tgz, r-release (x86_64): rai_1.0.0.tgz, r-oldrel (x86_64): rai_1.0.0.tgz

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