gurobi_multiple_designs {GreedyExperimentalDesign} | R Documentation |
This method searches through $1_T$ space using Gurobi's optimization many times. It finds many different solutions by permuting the rows of the design matrix and rerunning the optimization.
gurobi_multiple_designs(X, r, ...)
X |
The design matrix with $n$ rows (one for each subject) and $p$ columns (one for each measurement on the subject). This is the design matrix you wish to search for a more optimal design. |
r |
The number of vectors that should be returned |
... |
Additional arguments to be passed to |
A matrix of allocation vectors of dimension r x n
.
Kapelner