DOI: 10.18129/B9.bioc.swfdr    

This package is for version 3.8 of Bioconductor; for the stable, up-to-date release version, see swfdr.

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

Bioconductor version: 3.8

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")):


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biocViews MultipleComparison, Software, StatisticalMethod
Version 1.8.0
In Bioconductor since BioC 3.5 (R-3.4) (2 years)
License GPL (>= 3)
Depends R (>= 3.4)
Imports stats4, ggplot2, reshape2, stats, dplyr
Suggests BiocStyle, knitr, rmarkdown
Depends On Me
Imports Me
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