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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 |
| DOI: | 10.32614/CRAN.package.simpleFDR |
| Author: | Stephen C Wisser |
| Maintainer: | Stephen Wisser <swisser98 at gmail.com> |
| License: | MIT + file LICENSE |
| NeedsCompilation: | no |
| CRAN checks: | simpleFDR results |
| Reference manual: | simpleFDR.pdf |
| Package source: | simpleFDR_1.1.tar.gz |
| Windows binaries: | r-devel: simpleFDR_1.1.zip, r-release: simpleFDR_1.1.zip, r-oldrel: simpleFDR_1.1.zip |
| macOS binaries: | r-release (arm64): simpleFDR_1.1.tgz, r-oldrel (arm64): simpleFDR_1.1.tgz, r-release (x86_64): simpleFDR_1.1.tgz, r-oldrel (x86_64): simpleFDR_1.1.tgz |
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These binaries (installable software) and packages are in development.
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