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) <arXiv:1510.06322>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.0.0 |
rolling linux/jammy R-4.5 | rai_1.0.0.tar.gz |
81.0 KiB |
1.0.0 |
rolling linux/noble R-4.5 | rai_1.0.0.tar.gz |
81.0 KiB |
1.0.0 |
rolling source/ R- | rai_1.0.0.tar.gz |
44.1 KiB |
1.0.0 |
latest linux/jammy R-4.5 | rai_1.0.0.tar.gz |
81.0 KiB |
1.0.0 |
latest linux/noble R-4.5 | rai_1.0.0.tar.gz |
81.0 KiB |
1.0.0 |
latest source/ R- | rai_1.0.0.tar.gz |
44.1 KiB |
1.0.0 |
2026-04-26 source/ R- | rai_1.0.0.tar.gz |
44.1 KiB |
1.0.0 |
2026-04-23 source/ R- | rai_1.0.0.tar.gz |
44.1 KiB |
1.0.0 |
2026-04-09 windows/windows R-4.5 | rai_1.0.0.zip |
120.8 KiB |
1.0.0 |
2025-04-20 source/ R- | rai_1.0.0.tar.gz |
44.1 KiB |