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.
- https://brettklamer.com/work/depower/
- https://bitbucket.org/bklamer/depower/
- depower results
- depower.pdf
- Version2025.1.20
- R versionR (≥ 4.2.0)
- LicenseMIT
- Needs compilation?No
- Languageen-US
- depower citation info
- Last release01/23/2025
Documentation
Team
Brett Klamer
MaintainerShow author detailsLianbo Yu
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Data provided by CRAN
Binaries
Dependencies
- Imports7 packages
- Suggests2 packages