To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("swfdr")
In most cases, you don't need to download the package archive at all.
Bioconductor version: Release (3.5)
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 source("https://bioconductor.org/biocLite.R") biocLite("swfdr")
HTML | R Script | Tutorial for swfdr package |
Reference Manual | ||
Text | NEWS |
biocViews | MultipleComparison, Software, StatisticalMethod |
Version | 1.0.0 |
In Bioconductor since | BioC 3.5 (R-3.4) (0.5 years) |
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 |
Follow Installation instructions to use this package in your R session.
Source Package | swfdr_1.0.0.tar.gz |
Windows Binary | swfdr_1.0.0.zip |
Mac OS X 10.11 (El Capitan) | swfdr_1.0.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/swfdr |
Package Short Url | http://bioconductor.org/packages/swfdr/ |
Package Downloads Report | Download Stats |
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