depower-package: depower: Power Analysis for Differential Expression Studies

In depower: Power Analysis for Differential Expression Studies

depower: Power Analysis for Differential Expression Studies

Description

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) \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1186/s12859-017-1648-2")} and Yu, Fernandez, and Brock (2020) \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1186/s12859-020-3541-7")}.

Author(s)

Maintainer: Brett Klamer [e-mail] (ORCID)

Authors:

• Lianbo Yu [e-mail] (ORCID)

See Also

Useful links:

• https://brettklamer.com/work/depower/

• https://bitbucket.org/bklamer/depower/

depower documentation built on April 3, 2025, 9:23 p.m.