Package: simpleFDR
Type: Package
Title: Simple False Discovery Rate Calculation
Description: 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>. 
Author: Stephen C Wisser
Version: 1.1
RoxygenNote: 7.1.2
Imports: dplyr,tidyr
Maintainer: Stephen Wisser <swisser98@gmail.com>
License: MIT + file LICENSE
Date: 2021-11-01
NeedsCompilation: no
Packaged: 2021-11-03 01:43:51 UTC; swisser
Repository: CRAN
Date/Publication: 2021-11-04 07:20:02 UTC
Built: R 4.6.0; ; 2026-04-26 01:03:22 UTC; unix
