DOI: 10.18129/B9.bioc.swfdr    

Science-wise false discovery rate and proportion of true null hypotheses estimation

Bioconductor version: Release (3.6)

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.

Author: Jeffrey T. Leek, Leah Jager, Simina M. Boca

Maintainer: Simina M. Boca <smb310 at georgetown.edu>, Jeffrey T. Leek <jtleek at gmail.com>

Citation (from within R, enter citation("swfdr")):


To install this package, start R and enter:

## try http:// if https:// URLs are not supported


To view documentation for the version of this package installed in your system, start R and enter:



PDF R Script Tutorial for swfdr package
PDF   Reference Manual
Text   NEWS


biocViews MultipleComparison, Software, StatisticalMethod
Version 1.4.0
In Bioconductor since BioC 3.5 (R-3.4) (1 year)
License GPL (>= 3)
Depends R (>= 3.4)
Imports stats4, ggplot2, reshape2, stats, dplyr
Suggests BiocStyle, knitr, rmarkdown
Depends On Me
Imports Me
Suggests Me
Build Report  

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package swfdr_1.4.0.tar.gz
Windows Binary swfdr_1.4.0.zip
Mac OS X 10.11 (El Capitan) swfdr_1.4.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/swfdr
Package Short Url http://bioconductor.org/packages/swfdr/
Package Downloads Report Download Stats

Documentation »


R / CRAN packages and documentation

Support »

Please read the posting guide. Post questions about Bioconductor to one of the following locations: