Concepts
Features
Reference
This section documents the Gurobi R interface. For those of you who are notfamiliar with R, it is a free language for statistical computing. Please visittheR web site for more information. This manualbegins with aquick overview of the methods provided byour R API. It then continues with a comprehensive presentation of all of theavailable methods, their arguments, and their return values.
For information about how to install the Gurobi R interface, pleaserefer to theGurobi R API installation guide.
If you are new to the Gurobi Optimizer, we suggest that you start with theGetting Started Knowledge Base article for general information. This alsoincludesTutorials for the different Gurobi APIs. Additionally, ourExample Tour provides concrete examples of howto use the methods described here. We will point to sections or examples of thistour whenever it fits in this overview.
A quick note for new users: the convention in math programming is that variablesare non-negative unless specified otherwise. You’ll need to explicitly set lowerbounds if you want variables to be able to take negative values.
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