The APES method relies on a best subset algorithm for linear regression model. In cases where the number of regressors is less than 30, the leaps
package is sufficiently fast to provide a result in a reasonable time. For cases where the number of regressors becomes larger, we recommend using the bestsubset
package as the backend. However, the installation of this package is not quite straight forward. The purpose of this vignette is to detail some key steps to install this package.
bestsubset
The bestsubset
package that APES
depends on can be installed from GitHub via the R
command devtools::install_github("ryantibs/best-subset/bestsubset")
. While this step is relatively straight forward, the real hurdle is the installation of the gurobi
R
package which the commercial company Gurobi has copyright over.
To install gurobi
, follow the steps in this vignette.
In general, you should:
Register an account with Gurobi at https://www.gurobi.com/login/.
Review the licensing options at http://www.gurobi.com/products/licensing-pricing/licensing-overview. Academic affiliates can obtain a free license from https://www.gurobi.com/downloads/end-user-license-agreement-academic/.
Open up your system terminal and enter grbgetkey <license-id>
, where your <license-id>
is in the form of XXXXXXXX-XXXX-XXXX-XXXX-XXXXXXXXXXXX
from step 2.
Download the Gurobi software from https://www.gurobi.com/downloads/ and select the software version and operating system. Documentations specific to your operating system can be found at http://www.gurobi.com/documentation/.
Once the software is downloaded, install it at your desired path. The R
package will be in a subfolder under the installation path. For example, on MacOS, the default installation path for Gurobi 9.0.1 is /Library/gurobi901
and the R
command for installing gurobi
is install.packages('/Library/gurobi901/mac64/R/gurobi_9.0-1_R_3.6.1.tgz', repos=NULL)
. You will also need install the slam
package via install.packages("slam", repos = "https://cloud.r-project.org")
.
Test if gurobi
is installed by running library(gurobi)
in R
.
Finally, the bestsubset
package can be installed from GitHub via the R
command devtools::install_github("ryantibs/best-subset/bestsubset")
.
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