Greedy Experimental Design Construction

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Documentation for package ‘GreedyExperimentalDesign’ version 1.6

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all_elements_same_cpp_wrap Tests if a vector has all elements the same
complete_randomization Implements complete randomization (without forced balance)
complete_randomization_with_forced_balanced Implements forced balanced randomization
computeBinaryMatchStructure Compute Binary Matching Strcuture
compute_distance_matrix_cpp_wrap Computes a Euclidean-squared distance matrix rapidly
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
create_all_ys_cpp_wrap Create all binary Y's convenience function using a randomized design
generate_block_design_cpp_wrap Generates homogeneous block design allocations rapidly
generate_stdzied_design_matrix Generates a design matrix with standardized predictors.
gen_pm_designs_cpp_wrap Create PM designs
gen_var_cov_matrix_block_designs Computes varcov matrix for block designs
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
imbalanced_block_designs Implements unequally allocated block designs
imbalanced_complete_randomization Implements unequally allocated complete randomization
initBinaryMatchExperimentalDesignSearchObject Begin a Binary Match Search
initBinaryMatchFollowedByGreedyExperimentalDesignSearchObject Begin a Search for Binary Matching Followed by Greedy Switch Designs
initBinaryMatchFollowedByRerandomizationDesignSearchObject Begin a Search for Binary Matching Followed by Rerandomization
initGreedyExperimentalDesignObject Begin A Greedy Pair Switching Search
initGreedyMultipleKernelExperimentalDesignObject Begin A Greedy Pair Multiple Kernel Switching Search
initGurobiNumericalOptimizationExperimentalDesignObject Begin Gurobi Optimized Search
initKarpExperimentalDesignObject Begin Karp Search
initOptimalExperimentalDesignObject Begin a Search for the Optimal Solution
initRerandomizationExperimentalDesignObject Begin a Rerandomization Search
optimize_asymmetric_treatment_assignment Compute Optimal Number of Treatments/Controls
plot.greedy_experimental_design_search Plots a summary of a greedy search object object
plot.greedy_multiple_kernel_experimental_design Plots a summary of a 'greedy_multiple_kernel_experimental_design' 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_match_structure Prints a summary of a 'binary_match_structure' 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.greedy_multiple_kernel_experimental_design Prints a summary of a 'greedy_multiple_kernel_experimental_design' 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.pairwise_matching_experimental_design_search Prints a summary of a 'pairwise_matching_experimental_design_search' object
print.rerandomization_experimental_design_search Prints a summary of a 'rerandomization_experimental_design_search' object
resultsBinaryMatchSearch Binary Pair Match Search
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
resultsGurobiNumericalOptimizeSearch Query the Gurobi Results
resultsKarpSearch Returns the results (thus far) of the karp design search
resultsMultipleKernelGreedySearch Returns the results (thus far) of the greedy design search for multiple kernels
resultsOptimalSearch Returns the results (thus far) of the optimal design search
resultsRerandomizationSearch Returns the results (thus far) of the rerandomization design search
safe_cov_inverse Computes a numerically stable inverse of a covariance matrix
searchTimeElapsed Returns the amount of time elapsed
shuffle_cpp_wrap Shuffles a vector rapidly
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_match_structure Prints a summary of a 'binary_match_structure' 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.greedy_multiple_kernel_experimental_design Prints a summary of a 'greedy_multiple_kernel_experimental_design' 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.pairwise_matching_experimental_design_search Prints a summary of a 'pairwise_matching_experimental_design_search' object
summary.rerandomization_experimental_design_search Prints a summary of a 'rerandomization_experimental_design_search' object