recipe bioconductor-coveb

Empirical Bayes estimate of block diagonal covariance matrices

Homepage:

https://bioconductor.org/packages/3.16/bioc/html/covEB.html

License:

GPL-3

Recipe:

/bioconductor-coveb/meta.yaml

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

Versions:

1.24.0-0,  1.20.0-0,  1.18.0-0,  1.16.0-1,  1.16.0-0,  1.14.0-0,  1.12.0-0,  1.10.0-1,  1.8.1-0, 

1.24.0-0,  1.20.0-0,  1.18.0-0,  1.16.0-1,  1.16.0-0,  1.14.0-0,  1.12.0-0,  1.10.0-1,  1.8.1-0,  1.8.0-0

Depends:

• bioconductor-biobase >=2.58.0,<2.59.0

• r-base >=4.2,<4.3.0a0

• r-gsl

• r-igraph

• r-laplacesdemon

• r-matrix

• r-mvtnorm

Required By:

Installation

With an activated Bioconda channel (see set-up-channels), install with:

conda install bioconductor-coveb

and update with:

conda update bioconductor-coveb

or use the docker container:

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

(see bioconductor-coveb/tags for valid values for <tag>)

Download stats

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