FDRestimation
Estimate, Plot, and Summarize False Discovery Rates
The user can directly compute and display false discovery rates from inputted p-values or z-scores under a variety of assumptions. p.fdr() computes FDRs, adjusted p-values and decision reject vectors from inputted p-values or z-values. get.pi0() estimates the proportion of data that are truly null. plot.p.fdr() plots the FDRs, adjusted p-values, and the raw p-values points against their rejection threshold lines.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.0.1 |
rolling source/ R- | FDRestimation_1.0.1.tar.gz |
39.0 KiB |
1.0.1 |
latest source/ R- | FDRestimation_1.0.1.tar.gz |
39.0 KiB |
1.0.1 |
2026-04-23 source/ R- | FDRestimation_1.0.1.tar.gz |
39.0 KiB |
1.0.1 |
2026-04-09 windows/windows R-4.5 | FDRestimation_1.0.1.zip |
63.4 KiB |