recipe bioconductor-sparsematrixstats

Summary Statistics for Rows and Columns of Sparse Matrices

Homepage:

https://bioconductor.org/packages/3.18/bioc/html/sparseMatrixStats.html

License:

MIT + file LICENSE

Recipe:

/bioconductor-sparsematrixstats/meta.yaml

Links:

biotools: sparseMatrixStats

High performance functions for row and column operations on sparse matrices. For example: col / rowMeans2, col / rowMedians, col / rowVars etc. Currently, the optimizations are limited to data in the column sparse format. This package is inspired by the matrixStats package by Henrik Bengtsson.

package bioconductor-sparsematrixstats

versions:

1.14.0-1,  1.14.0-0,  1.12.2-0,  1.10.0-1,  1.10.0-0,  1.6.0-2,  1.6.0-1,  1.6.0-0,  1.4.0-0, 

1.14.0-1,  1.14.0-0,  1.12.2-0,  1.10.0-1,  1.10.0-0,  1.6.0-2,  1.6.0-1,  1.6.0-0,  1.4.0-0,  1.2.1-0,  1.2.0-0,  1.0.0-1,  1.0.0-0

depends bioconductor-matrixgenerics:

>=1.14.0,<1.15.0

depends bioconductor-matrixgenerics:

>=1.14.0,<1.15.0a0

depends libblas:

>=3.9.0,<4.0a0

depends libgcc-ng:

>=12

depends liblapack:

>=3.9.0,<4.0a0

depends libstdcxx-ng:

>=12

depends r-base:

>=4.3,<4.4.0a0

depends r-matrix:

depends r-matrixstats:

>=0.60.0

depends r-rcpp:

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-sparsematrixstats

and update with::

   mamba update bioconductor-sparsematrixstats

To create a new environment, run:

mamba create --name myenvname bioconductor-sparsematrixstats

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-sparsematrixstats:<tag>

(see `bioconductor-sparsematrixstats/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/bioconductor-sparsematrixstats/README.html)