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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.
Getting started
Browse package contents
Package details |
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| Author | Megan Murray [aut, cre], Jeffrey Blume [aut] |
| Maintainer | Megan Murray <megan.c.hollister@vanderbilt.edu> |
| License | MIT + file LICENSE |
| Version | 1.0.1 |
| URL | <doi:10.12688/f1000research.52999.2> |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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