recipe bioconductor-coveb

Empirical Bayes estimate of block diagonal covariance matrices






Using bayesian methods to estimate correlation matrices assuming that they can be written and estimated as block diagonal matrices. These block diagonal matrices are determined using shrinkage parameters that values below this parameter to zero.

package bioconductor-coveb

(downloads) docker_bioconductor-coveb



depends bioconductor-biobase:


depends r-base:


depends r-gsl:

depends r-igraph:

depends r-laplacesdemon:

depends r-matrix:

depends r-mvtnorm:



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-coveb

and update with::

   mamba update bioconductor-coveb

To create a new environment, run:

mamba create --name myenvname bioconductor-coveb

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

Download stats