Solve optimisation problems using the commercial Gurobi software package
R C++
Switch branches/tags
Nothing to show
Permalink
Failed to load latest commit information.
R + makevars flags use most recent version of gurobi Nov 10, 2016
data
inst
man + add Rcpp to imports Mar 2, 2016
src + makevars flags use most recent version of gurobi Nov 10, 2016
tests
vignettes + fixes to vignette Mar 1, 2016
.Rbuildignore + package working Mar 1, 2016
.directory + package working Mar 1, 2016
.gitignore
.travis.yml + package working Mar 1, 2016
DESCRIPTION + added test comparisons to offical gurobi package Mar 2, 2016
NAMESPACE + add Rcpp to imports Mar 2, 2016
NEWS.md + package working Mar 1, 2016
README.md + fixes to vignette Mar 1, 2016
appveyor.yml

README.md

rgurobi

DOI

Solve optimisation problems using the commercial Gurobi software package. This package provides similar functionality to the official gurobi R package. However, this package allows users to retrieve multiple solutions from the solution pool after solving a problem. Note that this package does not support quadratic expressions.

To install this package, the Gurobi software package first must be installed (see here for instructions: Linux, Windows, Mac OSX).

Additionally, the GUROBI_HOME environmental variable must be set to the Gurobi installation directory. The package will fail to install if this variable is not set.

To install this R package, use the following R code:

if (!require('devtools'))
	install.packages('devtools', repo='http://cran.rstudio.com', dep=TRUE)
devtools:::install_github('paleo13/rgurobi')

Once this package has been installed, you can read through the vignette for a tutorial on how to use it.

View it here, or by running this R code:

# open vignette in web browser
vignette('rgurobi', package='rgurobi')

If this R package helped you, please cite it.

Hanson J.O. (2016). rgurobi: Solve optimisation problems using Gurobi. Version 1.0.0. doi: 10.5281/zenodo.35188.