Package: swfdr
Title: Science-wise false discovery rate and proportion of true null
        hypotheses estimation
Version: 1.6.0
Author: Jeffrey T. Leek, Leah Jager, Simina M. Boca
Maintainer: Simina M. Boca <smb310@georgetown.edu>, Jeffrey T. Leek
 <jtleek@gmail.com>
Description: This package allows users to estimate the science-wise
        false discovery rate from Jager and Leek, "Empirical estimates
        suggest most published medical research is true," 2013,
        Biostatistics, using an EM approach due to the presence of
        rounding and censoring. It also allows users to estimate the
        proportion of true null hypotheses in the presence of
        covariates, using a regression framework, as per Boca and Leek,
        "A regression framework for the proportion of true null
        hypotheses," 2015, bioRxiv preprint.
Depends: R (>= 3.4)
Imports: stats4, ggplot2, reshape2, stats, dplyr
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1
Suggests: BiocStyle, knitr, rmarkdown
VignetteBuilder: knitr
biocViews: MultipleComparison, StatisticalMethod, Software
NeedsCompilation: no
Packaged: 2018-05-01 04:00:34 UTC; biocbuild
Built: R 3.5.0; ; 2018-05-01 12:51:54 UTC; windows
