recipe bioconductor-pengls

Fit Penalised Generalised Least Squares models

Homepage:

https://bioconductor.org/packages/3.18/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:

1.8.0-0,  1.6.0-0,  1.4.0-0,  1.0.0-0

depends bioconductor-biocparallel:

>=1.36.0,<1.37.0

depends r-base:

>=4.3,<4.4.0a0

depends r-glmnet:

depends r-nlme:

requirements:

Installation

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-pengls

and update with::

   mamba update bioconductor-pengls

To create a new environment, run:

mamba create --name myenvname bioconductor-pengls

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

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

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Link to this page

Render an install-with-bioconda badge with the following MarkDown:

[![install with bioconda](https://img.shields.io/badge/install%20with-bioconda-brightgreen.svg?style=flat)](http://bioconda.github.io/recipes/bioconductor-pengls/README.html)