simpleFDR: Simple False Discovery Rate Calculation
Using the adjustment method from Benjamini & Hochberg (1995) <doi:10.1111/j.2517-6161.1995.tb02031.x>, this package determines which variables are significant under repeated testing with a given dataframe of p values and an user defined "q" threshold. It then returns the original dataframe along with a significance column where an asterisk denotes a significant p value after FDR calculation, and NA denotes all other p values. This package uses the Benjamini & Hochberg method specifically as described in Lee, S., & Lee, D. K. (2018) <doi:10.4097/kja.d.18.00242>.
| Version: |
1.1 |
| Imports: |
dplyr, tidyr |
| Published: |
2021-11-04 |
| Author: |
Stephen C Wisser |
| Maintainer: |
Stephen Wisser <swisser98 at gmail.com> |
| License: |
MIT + file LICENSE |
| NeedsCompilation: |
no |
| CRAN checks: |
simpleFDR results |
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