Name | Modified | Size | Downloads / Week |
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Parent folder | |||
libSBML_5.17.1.tar.gz | 2018-12-06 | 3.4 MB | |
README.md | 2018-12-05 | 2.2 kB | |
Totals: 2 Items | 3.5 MB | 0 |
libSBML 5.17.2 (experimental)
R Source package
This directory contains the R Source Package for libSBML 5.17.2 (experimental).
How to install libSBML for R
After downloading the package archive file, you can use one of two approaches to installing the libSBML R interface in your environment:
-
Using the R GUI: In the R menu "Packages" or "Packages & Data" (depending on your operating system), select the item "Package Installer". You will be presented with an interface that lets you install a local source package. Use the interface to navigate to the directory where you copied the libSBML archive file, and select the archive file for installation.
-
Using a terminal/shell command: Suppose that the path to the libSBML R archive on your computer is path_to_archive. Execute the following command in a terminal/shell window (note: not in the R command line interpreter!):
R CMD INSTALL path_to_archive
. Here,R
is the executable for the command-line version of R; we assume it is accessible from your shell's command line, but if it is not accessible by simply typingR
, you may need to supply the full path to the R executable on your computer.
Once you have installed the R libSBML library, follow the instructions for how to access libSBML.
Please note: the code in these directories reflects the current state of development of SBML Level 3 packages and the libSBML plug-ins for the packages. Many of the SBML Level 3 package specifications have not yet been finalized, and the package implementations are themselves in a state of development. The binaries available may be untested and are supplied 'as-is' for experimental development only.
We would greatly appreciate any feedback you have about this software.
For more information about libSBML, please visit the libSBML website.
Thank you for your interest in libSBML!
The LibSBML Team.