recipe bioconductor-dks

The double Kolmogorov-Smirnov package for evaluating multiple testing procedures.






The dks package consists of a set of diagnostic functions for multiple testing methods. The functions can be used to determine if the p-values produced by a multiple testing procedure are correct. These functions are designed to be applied to simulated data. The functions require the entire set of p-values from multiple simulated studies, so that the joint distribution can be evaluated.

package bioconductor-dks

(downloads) docker_bioconductor-dks



depends r-base:


depends r-cubature:



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-dks

and update with::

   mamba update bioconductor-dks

To create a new environment, run:

mamba create --name myenvname bioconductor-dks

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-dks/tags`_ for valid values for ``<tag>``)

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