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rai
View on CRAN: Click
here
Download and install rai package within the R console
Install from CRAN:
install.packages("rai")
Install from Github:
library("remotes")
install_github("cran/rai") Install by package version:
library("remotes")
install_version("rai", "1.0.0") Attach the package and use:
library("rai")
Maintained by
Kory D. Johnson
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[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-07-02
Latest Update: 2019-07-02
Description:
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) .
How to cite:
Kory D. Johnson (2019). rai: Revisiting-Alpha-Investing for Polynomial Regression. R package version 1.0.0, https://cran.r-project.org/web/packages/rai. Accessed 04 Jun. 2026.
Previous versions and publish date:
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Other R packages that rai depends,
imports, suggests or enhances
Complete documentation for rai
Functions, R codes and Examples using
the rai R package
Some associated functions: Auction . Bidders . Experts . Feature-Constructors . ProcessRAI . RAI .
Some associated R codes: auction.R . bidders.R . constructors.R . experts.R . processResults.R . rai.R . Full rai package functions and examples
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