Greedy Experimental Design Construction

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Documentation for package ‘GreedyExperimentalDesign’ version 1.4

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automobile Data concerning automobile prices.
binaryMatchExperimentalDesignSearch Begin a Search for Binary Matching Designs
binaryMatchFollowedByGreedyExperimentalDesignSearch Begin a Search for Binary Matching Followed by Greedy Switch Designs
binaryMatchFollowedByRerandomizationDesignSearch Begin a Search for Binary Matching Followed by Rerandomization
complete_randomization Implements complete randomization (without forced balance)
complete_randomization_with_forced_balanced Implements forced balanced randomization
compute_gram_matrix Gram Matrix Computation
compute_objective_val Computes Objective Value From Allocation Vector
compute_randomization_metrics Computes Randomization Metrics (explained in paper) about a design algorithm
generate_stdzied_design_matrix Generates a design matrix with standardized predictors.
GreedyExperimentalDesign Greedy Experimental Design Search
greedy_orthogonalization_curation Curate More Orthogonal Vectors Greedily
greedy_orthogonalization_curation2 Curate More Orthogonal Vectors Greedily
hadamardExperimentalDesign Create a Hadamard Design
initGreedyExperimentalDesignObject Begin A Greedy Pair Switching Search
initKarpExperimentalDesignObject Begin Karp Search
initOptimalExperimentalDesignObject Begin a Search for the Optimal Solution
initRerandomizationExperimentalDesignObject Begin a Rerandomization Search
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.binary_experimental_design Prints a summary of a 'binary_experimental_design' object
print.binary_then_greedy_experimental_design Prints a summary of a 'binary_then_greedy_experimental_design' object
print.binary_then_rerandomization_experimental_design Prints a summary of a 'binary_then_rerandomization_experimental_design' object
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
resultsBinaryMatchSearch Returns unique allocation vectors that are binary matched
resultsBinaryMatchThenGreedySearch Returns unique allocation vectors that are binary matched
resultsBinaryMatchThenRerandomizationSearch Returns unique allocation vectors that are binary matched
resultsGreedySearch Returns the results (thus far) of the greedy 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 amount of time elapsed
standardize_data_matrix Standardizes the columns of a data matrix.
startSearch Starts the parallelized greedy design search.
stopSearch Stops the parallelized greedy design search.
summary.binary_experimental_design Prints a summary of a 'binary_experimental_design' object
summary.binary_then_greedy_experimental_design Prints a summary of a 'binary_then_greedy_experimental_design' object
summary.binary_then_rerandomization_experimental_design Prints a summary of a 'binary_then_rerandomization_experimental_design' object
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