CRAN/E | rai

rai

Revisiting-Alpha-Investing for Polynomial Regression

Installation

About

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) .

github.com/korydjohnson/rai
Bug report File report

Key Metrics

Version 1.0.0
Published 2019-07-02 1923 days ago
Needs compilation? no
License GPL-3
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Maintainer

Maintainer

Kory D. Johnson

Authors

Kory D. Johnson

aut / cre

Robert A. Stine

aut

Material

NEWS
Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Imports

stats
dplyr
ggplot2
readr
rlang

Suggests

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