Greedy Experimental Design Construction

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Documentation for package ‘GreedyExperimentalDesign’ version 1.2

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GreedyExperimentalDesign-package Greedy Experimental Design Search
automobile Data concerning automobile prices.
complete_randomization Implements complete randomization
complete_randomization_with_balanced_ns Implements complete balanced randomization
compute_objective_val Returns the objective value given a design vector as well an an objective function. This is code duplication since this is implemented within Java. This is only to be run if...
compute_randomization_metrics Computes Randomization Metrics (explained in paper) about a design algorithm
generate_stdzied_design_matrix Generates a design matrix with standardized predictors. Useful for debugging.
GreedyExperimentalDesign Greedy Experimental Design Search
gurobi_multiple_designs Find multiple designs
initGreedyExperimentalDesignObject This method creates an object of type greedy_experimental_design and will immediately initiate a search through $1_T$ space.
initGurobiNumericalOptimizationExperimentalDesignObject This method creates an object of type optimal_experimental_design and will immediately initiate a search through $1_T$ space.
initKarpExperimentalDesignObject This method creates an object of type karp_experimental_design and will immediately initiate a search through $1_T$ space.
initOptimalExperimentalDesignObject This method creates an object of type optimal_experimental_design and will immediately initiate a search through $1_T$ space.
initRerandomizationExperimentalDesignObject This method creates an object of type rerandomization_experimental_design and will immediately initiate a search through $1_T$ space.
plot.greedy_experimental_design_search Plots a summary of a 'greedy_experimental_design_search' object
plot_obj_val_by_iter Plots the objective value by iteration
plot_obj_val_order_statistic Plots an order statistic of the object value as a function of number of searches
print.greedy_experimental_design_search Prints a summary of a 'greedy_experimental_design_search' object
print.karp_experimental_design_search Prints a summary of a 'karp_experimental_design_search' object
print.optimal_experimental_design_search Prints a summary of a 'optimal_experimental_design_search' object
print.rerandomization_experimental_design_search Prints a summary of a 'rerandomization_experimental_design_search' object
resultsGreedySearch Returns the results (thus far) of the greedy design search
resultsGurobiNumericalOptimizeExperimentalDesign Returns the results (thus far) of the Gurobi numerical optimization design search
resultsKarpSearch Returns the results (thus far) of the karp design search
resultsOptimalSearch Returns the results (thus far) of the optimal design search
resultsRerandomizationSearch Returns the results (thus far) of the rerandomization design search
searchTimeElapsed Returns the number of vectors found by the greedy design search
startSearch Starts the parallelized greedy design search. Once begun, this function cannot be run again.
stopSearch Stops the parallelized greedy design search. Once stopped, it cannot be restarted.
summary.greedy_experimental_design_search Prints a summary of a 'greedy_experimental_design_search' object
summary.karp_experimental_design_search Prints a summary of a 'karp_experimental_design_search' object
summary.optimal_experimental_design_search Prints a summary of a 'optimal_experimental_design_search' object
summary.rerandomization_experimental_design_search Prints a summary of a 'rerandomization_experimental_design_search' object