gurobi_multiple_designs {GreedyExperimentalDesign}R Documentation

Find multiple designs

Description

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.

Usage

gurobi_multiple_designs(X, r, ...)

Arguments

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 initGurobiNumericalOptimizationExperimentalDesignObject.

Value

A matrix of allocation vectors of dimension r x n.

Author(s)

Kapelner


[Package GreedyExperimentalDesign version 1.2 Index]