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depower: Power Analysis for Differential Expression Studies
Provides a convenient framework to simulate, test, power, and visualize data for differential expression studies with lognormal or negative binomial outcomes. Supported designs are two-sample comparisons of independent or dependent outcomes. Power may be summarized in the context of controlling the per-family error rate or family-wise error rate. Negative binomial methods are described in Yu, Fernandez, and Brock (2017) <doi:10.1186/s12859-017-1648-2> and Yu, Fernandez, and Brock (2020) <doi:10.1186/s12859-020-3541-7>.
Getting started
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Package details |
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| Author | Brett Klamer [aut, cre] (<https://orcid.org/0000-0002-8334-4831>), Lianbo Yu [aut] (<https://orcid.org/0000-0002-2025-2585>) |
| Maintainer | Brett Klamer <code@brettklamer.com> |
| License | MIT + file LICENSE |
| Version | 2025.1.20 |
| URL | https://brettklamer.com/work/depower/ https://bitbucket.org/bklamer/depower/ |
| Package repository | View on CRAN |
| Installation |
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