Power Analysis for Differential Expression Studies R package depower version 2026.1.30 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>. Software Depends: R (>= 4.2.0) Imports: Rdpack, stats, mvnfast, glmmTMB, dplyr, multidplyr, ggplot2, scales Suggests: tinytest, rmarkdown Brett Klamer <code@brettklamer.com> Comprehensive R Archive Network (CRAN) Brett Klamer [aut, cre] (ORCID: <https://orcid.org/0000-0002-8334-4831>), Lianbo Yu [aut] (ORCID: <https://orcid.org/0000-0002-2025-2585>) MIT + file LICENSE (https://CRAN.R-project.org/package=depower/LICENSE) 2026-01-30 application/tgz https://CRAN.R-project.org/package=depower doi:10.32614/CRAN.package.depower en-US