recipe r-spieceasi

Estimate networks from the precision matrix of compositional microbial abundance data.

Homepage:

http://github.com/zdk123/SpiecEasi

License:

GPL-2.0-or-later

Recipe:

/r-spieceasi/meta.yaml

package r-spieceasi

versions:

1.1.1-5,  1.1.1-4,  1.1.1-3,  1.1.1-2,  1.1.1-1,  1.1.1-0,  1.1.0-2,  1.1.0-1,  1.1.0-0, 

1.1.1-5,  1.1.1-4,  1.1.1-3,  1.1.1-2,  1.1.1-1,  1.1.1-0,  1.1.0-2,  1.1.0-1,  1.1.0-0,  1.0.7-1,  1.0.7-0,  0.1.4-1,  0.1.4-0

depends libgcc-ng:

>=12

depends libstdcxx-ng:

>=12

depends r-base:

>=4.3,<4.4.0a0

depends r-glmnet:

depends r-huge:

>=1.3.2

depends r-mass:

depends r-matrix:

depends r-pulsar:

>=0.3.4

depends r-rcpp:

depends r-rcpparmadillo:

depends r-vgam:

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 r-spieceasi

and update with::

   mamba update r-spieceasi

To create a new environment, run:

mamba create --name myenvname r-spieceasi

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/r-spieceasi:<tag>

(see `r-spieceasi/tags`_ for valid values for ``<tag>``)

Download stats

Link to this page

Render an 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/r-spieceasi/README.html)