recipe bioconductor-swfdr

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

Homepage:

https://bioconductor.org/packages/3.18/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 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.

package bioconductor-swfdr

(downloads) docker_bioconductor-swfdr

versions:
1.28.0-01.26.0-01.24.0-01.20.0-01.18.0-01.16.0-11.16.0-01.14.0-01.12.0-0

1.28.0-01.26.0-01.24.0-01.20.0-01.18.0-01.16.0-11.16.0-01.14.0-01.12.0-01.10.0-11.10.0-01.8.0-0

depends r-base:

>=4.3,<4.4.0a0

requirements:

Installation

You need a conda-compatible package manager (currently either micromamba, mamba, or conda) and the Bioconda channel already activated (see set-up-channels).

While any of above package managers is fine, it is currently recommended to use either micromamba or mamba (see here for installation instructions). We will show all commands using mamba below, but the arguments are the same for the two others.

Given that you already have a conda environment in which you want to have this package, install with:

   mamba install bioconductor-swfdr

and update with::

   mamba update bioconductor-swfdr

To create a new environment, run:

mamba create --name myenvname bioconductor-swfdr

with myenvname being a reasonable name for the environment (see e.g. the mamba docs for details and further options).

Alternatively, use the docker container:

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

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

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