recipe bioconductor-hybridmtest

Hybrid Multiple Testing



GPL Version 2 or later




biotools: hybridmtest, doi: 10.1038/nmeth.3252

Performs hybrid multiple testing that incorporates method selection and assumption evaluations into the analysis using empirical Bayes probability (EBP) estimates obtained by Grenander density estimation. For instance, for 3-group comparison analysis, Hybrid Multiple testing considers EBPs as weighted EBPs between F-test and H-test with EBPs from Shapiro Wilk test of normality as weigth. Instead of just using EBPs from F-test only or using H-test only, this methodology combines both types of EBPs through EBPs from Shapiro Wilk test of normality. This methodology uses then the law of total EBPs.

package bioconductor-hybridmtest

(downloads) docker_bioconductor-hybridmtest



depends bioconductor-biobase:


depends r-base:


depends r-fdrtool:

depends r-mass:

depends r-survival:



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-hybridmtest

and update with::

   mamba update bioconductor-hybridmtest

To create a new environment, run:

mamba create --name myenvname bioconductor-hybridmtest

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<tag>

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

Download stats