initGurobiNumericalOptimizationExperimentalDesignObject {GreedyExperimentalDesign} | R Documentation |
This method creates an object of type optimal_experimental_design and will immediately initiate a search through $1_T$ space.
initGurobiNumericalOptimizationExperimentalDesignObject(X, num_cores = 1, time_limit_min = 5, node_limit = NULL, max_solutions = 10, verbose = TRUE, log_file = "")
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. |
num_cores |
The number of CPU cores you wish to use during the search. The default is |
time_limit_min |
The maximum amount of time the optimizer can run for in minutes. The default is |
node_limit |
The maximum number of nodes Gurobi should explore. Default is |
max_solutions |
The maximum number of solutions Gurobi should retain (if possible given the time limit and constraint of the
node limit). The default is |
verbose |
Should Gurobi print its log to screen? Default is |
log_file |
Log filename for Gurobi e.g. |
An object of type optimal_experimental_design_search
which can be further operated upon
Adam Kapelner and Bracha Blau