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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>.
| Version: |
2024.12.4 |
| Depends: |
R (≥ 4.2.0) |
| Imports: |
Rdpack, stats, mvnfast, glmmTMB, dplyr, multidplyr, ggplot2, scales |
| Suggests: |
tinytest, rmarkdown |
| Published: |
2024-12-08 |
| 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.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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