recipe bioconductor-swfdr

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

Homepage

https://bioconductor.org/packages/3.10/bioc/html/swfdr.html

License

GPL (>= 3)

Recipe

/bioconductor-swfdr/meta.yaml

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 direct approach to estimating false discovery rates conditional on covariates,” 2018, PeerJ.

package bioconductor-swfdr

(downloads) docker_bioconductor-swfdr

Versions

1.12.0-0, 1.10.0-1, 1.10.0-0, 1.8.0-0

Depends
Required By

Installation

With an activated Bioconda channel (see 2. Set up channels), install with:

conda install bioconductor-swfdr

and update with:

conda update bioconductor-swfdr

or use the docker container:

docker pull quay.io/biocontainers/bioconductor-swfdr:<tag>

(see bioconductor-swfdr/tags for valid values for <tag>)