recipe bioconductor-iterativebmasurv

The Iterative Bayesian Model Averaging (BMA) Algorithm For Survival Analysis



GPL (>= 2)




biotools: iterativebmasurv, doi: 10.1186/1471-2105-10-72

The iterative Bayesian Model Averaging (BMA) algorithm for survival analysis is a variable selection method for applying survival analysis to microarray data.

package bioconductor-iterativebmasurv

(downloads) docker_bioconductor-iterativebmasurv



depends r-base:


depends r-bma:

depends r-leaps:

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-iterativebmasurv

and update with::

   mamba update bioconductor-iterativebmasurv

To create a new environment, run:

mamba create --name myenvname bioconductor-iterativebmasurv

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

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