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>.
Version: 2025.1.20 Depends: R (≥ 4.2.0) Imports: Rdpack, stats, mvnfast, glmmTMB, dplyr, multidplyr, ggplot2, scales Suggests: tinytest, rmarkdown Published: 2025-01-23 DOI: 10.32614/CRAN.package.depower Author: Brett Klamer [aut, cre], Lianbo Yu [aut] Maintainer: Brett Klamer <code at brettklamer.com> License: MIT + file LICENSE URL: https://brettklamer.com/work/depower/, https://bitbucket.org/bklamer/depower/ NeedsCompilation: no Language: en-US Citation: depower citation info Materials: README NEWS CRAN checks: depower results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=depower to link to this page.
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