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) .


Reference manual

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1.0.0 by Kory D. Johnson, a year ago

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Authors: Kory D. Johnson [aut, cre] , Robert A. Stine [aut]

Documentation:   PDF Manual  

GPL-3 license

Imports stats, dplyr, ggplot2, readr, rlang

Suggests testthat

See at CRAN