recipe r-spring

Semi-Parametric Rank-based approach for INference in Graphical model (SPRING)

Homepage:

https://github.com/GraceYoon/SPRING

License:

GPL3 / GPL-3.0-only

Recipe:

/r-spring/meta.yaml

SPRING is to estimate sparse microbial association networks using rank-based correlation with sparse graphical modeling techniques.

package r-spring

(downloads) docker_r-spring

versions:

1.0.4-2,  1.0.4-1,  1.0.4-0

depends r-base:

>=4.3,<4.4.0a0

depends r-huge:

depends r-mixedcca:

depends r-mvtnorm:

depends r-pulsar:

depends r-rootsolve:

depends r-spieceasi:

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-spring

and update with::

   mamba update r-spring

To create a new environment, run:

mamba create --name myenvname r-spring

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-spring:<tag>

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

Download stats

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/r-spring/README.html)