- recipe bioconductor-lpsymphony
Symphony integer linear programming solver in R
- Homepage:
https://bioconductor.org/packages/3.18/bioc/html/lpsymphony.html
- License:
EPL
- Recipe:
- Links:
biotools: lpsymphony, doi: 10.1007/0-387-23529-9_5
This package was derived from Rsymphony_0.1-17 from CRAN. These packages provide an R interface to SYMPHONY, an open-source linear programming solver written in C++. The main difference between this package and Rsymphony is that it includes the solver source code (SYMPHONY version 5.6), while Rsymphony expects to find header and library files on the users' system. Thus the intention of lpsymphony is to provide an easy to install interface to SYMPHONY. For Windows, precompiled DLLs are included in this package.
- package bioconductor-lpsymphony¶
- versions:
1.30.0-0
,1.28.1-0
,1.26.0-1
,1.26.0-0
,1.22.0-2
,1.22.0-1
,1.22.0-0
,1.20.0-0
,1.18.0-1
,1.30.0-0
,1.28.1-0
,1.26.0-1
,1.26.0-0
,1.22.0-2
,1.22.0-1
,1.22.0-0
,1.20.0-0
,1.18.0-1
,1.18.0-0
,1.16.0-0
,1.14.0-0
,1.12.0-1
,1.12.0-0
,1.10.0-0
,1.8.0-0
,1.6.0-0
,1.4.1-0
,1.2.0-0
- depends libblas:
>=3.9.0,<4.0a0
- depends libcxx:
>=14
- depends liblapack:
>=3.9.0,<4.0a0
- depends r-base:
>=4.3,<4.4.0a0
- 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-lpsymphony and update with:: mamba update bioconductor-lpsymphony
To create a new environment, run:
mamba create --name myenvname bioconductor-lpsymphony
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-lpsymphony:<tag> (see `bioconductor-lpsymphony/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-lpsymphony/README.html)