Package: depower
Title: Power Analysis for Differential Expression Studies
Version: 2025.1.20
Authors@R: c(
    person(
      given = "Brett", 
      family = "Klamer", 
      email = "code@brettklamer.com", 
      comment = c(ORCID = "0000-0002-8334-4831"),
      role = c("aut", "cre")
    ),
    person(
      given = "Lianbo", 
      family = "Yu", 
      email = "lianbo.yu@osumc.edu", 
      comment = c(ORCID = "0000-0002-2025-2585"),
      role = c("aut")
    )
  )
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) <doi:10.1186/s12859-017-1648-2> 
    and Yu, Fernandez, and Brock (2020) <doi:10.1186/s12859-020-3541-7>.
URL: https://brettklamer.com/work/depower/,
        https://bitbucket.org/bklamer/depower/
License: MIT + file LICENSE
Depends: R (>= 4.2.0)
Imports: Rdpack, stats, mvnfast, glmmTMB, dplyr, multidplyr, ggplot2,
        scales
Suggests: tinytest, rmarkdown
RdMacros: Rdpack
Language: en-US
Encoding: UTF-8
RoxygenNote: 7.3.2
NeedsCompilation: no
Packaged: 2025-01-21 00:00:00 UTC; x
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>
Repository: CRAN
Date/Publication: 2025-01-23 09:50:02 UTC
Built: R 4.6.0; ; 2025-10-14 04:04:25 UTC; windows
