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: 2026-10-16 09:48:09 UTC; root
Repository: https://cran.r-universe.dev
Date/Publication: 2021-11-04 06:20:02 UTC
RemoteUrl: https://github.com/cran/simpleFDR
RemoteRef: HEAD
RemoteSha: be545912fabacc2c8796c9f9d54549502a31cf69