depower
2026.1.30Power Analysis for Differential Expression Studies
Overview
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.
Install
Health
- NOTE r-devel-linux-x86_64-debian-gcc
- NOTE2026-08-0112 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- OK2026-06-0913 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-06-0812 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 100%
- Documented parameters
- 98%
- Return-value docs
- 100%
- References docs
- 92%
Downloads
Repository
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Code & Tests
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Package metadata
- First published
- 2024-12-08
- Total releases
- 4 / 2 yrs
- License
- MIT + file LICENSE OSI
- Minimum R
- ≥ 4.2.0
- Download size
- 569 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet