swfdr

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>

Installation

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("swfdr")

Documentation

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

browseVignettes("swfdr")

 

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

Details

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
LinkingTo
Suggests	BiocStyle, knitr, rmarkdown
SystemRequirements
Enhances
URL
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