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>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
2026.1.30 |
rolling linux/noble R-4.5 | depower_2026.1.30.tar.gz |
686.8 KiB |
2026.1.30 |
rolling source/ R- | depower_2026.1.30.tar.gz |
570.5 KiB |
2026.1.30 |
rolling linux/jammy R-4.5 | depower_2026.1.30.tar.gz |
686.9 KiB |
2026.1.30 |
latest linux/jammy R-4.5 | depower_2026.1.30.tar.gz |
686.9 KiB |
2026.1.30 |
latest linux/noble R-4.5 | depower_2026.1.30.tar.gz |
686.8 KiB |
2026.1.30 |
latest source/ R- | depower_2026.1.30.tar.gz |
570.5 KiB |
2026.1.30 |
2026-04-26 source/ R- | depower_2026.1.30.tar.gz |
570.5 KiB |
2026.1.30 |
2026-04-23 source/ R- | depower_2026.1.30.tar.gz |
570.5 KiB |
2026.1.30 |
2026-04-09 windows/windows R-4.5 | depower_2026.1.30.zip |
702.2 KiB |
2025.1.20 |
2025-04-20 source/ R- | depower_2025.1.20.tar.gz |
318.0 KiB |