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bioconda / packages / bioconductor-swfdr 1.28.0

Estimation of the science-wise false discovery rate and the false discovery rate conditional on covariates

Installers

Info: This package contains files in non-standard labels.
  • noarch v1.28.0

conda install

To install this package run one of the following:
conda install bioconda::bioconductor-swfdr
conda install bioconda/label/gcc7::bioconductor-swfdr

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 false discovery rate conditional on covariates, using a regression framework, as per Boca and Leek, "A direct approach to estimating false discovery rates conditional on covariates," 2018, PeerJ.


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