To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("rsbml")

In most cases, you don't need to download the package archive at all.

rsbml

   

This package is for version 2.10 of Bioconductor; for the stable, up-to-date release version, see rsbml.

R support for SBML, using libsbml

Bioconductor version: 2.10

Links R to libsbml for SBML parsing, validating output, provides an S4 SBML DOM, converts SBML to R graph objects. Optionally links to the SBML ODE Solver Library (SOSLib) for simulating models.

Author: Michael Lawrence <michafla at gene.com>

Maintainer: Michael Lawrence <michafla at gene.com>

Citation (from within R, enter citation("rsbml")):

Installation

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("rsbml")

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("rsbml")

 

PDF Quick start for rsbml
PDF   Reference Manual
Text   NEWS

Details

biocViews GraphsAndNetworks, Software
Version 2.14.4
In Bioconductor since BioC 2.1 (R-2.6) (8.5 years)
License Artistic-2.0
Depends R (>= 2.6.0), methods, utils
Imports graph, utils
LinkingTo
Suggests
SystemRequirements libsbml (>=3.0.3)
Enhances
URL http://www.sbml.org
Depends On Me
Imports Me
Suggests Me
Build Report  

Package Archives

Follow Installation instructions to use this package in your R session.

Package Source rsbml_2.14.4.tar.gz
Windows Binary rsbml_2.14.4.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard)
Subversion source (username/password: readonly)
Git source https://github.com/Bioconductor-mirror/rsbml/tree/release-2.10
Package Short Url http://bioconductor.org/packages/rsbml/
Package Downloads Report Download Stats

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