recipe bioconductor-pengls

Fit Penalised Generalised Least Squares models

Homepage:

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

License:

GPL-2

Recipe:

/bioconductor-pengls/meta.yaml

Combine generalised least squares methodology from the nlme package for dealing with autocorrelation with penalised least squares methods from the glmnet package to deal with high dimensionality. This pengls packages glues them together through an iterative loop. The resulting method is applicable to high dimensional datasets that exhibit autocorrelation, such as spatial or temporal data.

package bioconductor-pengls

(downloads) docker_bioconductor-pengls

Versions:

1.4.0-01.0.0-0

Depends:
Required By:

Installation

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

conda install bioconductor-pengls

and update with:

conda update bioconductor-pengls

or use the docker container:

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

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

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