GreedyExperimentalDesign
                        Greedy Experimental Design Search
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
gen_pm_designs_cpp_wrap
                        Create PM designs
gen_var_cov_matrix_block_designs
                        Computes varcov matrix for block designs
generate_block_design_cpp_wrap
                        Generates homogeneous block design allocations
                        rapidly
generate_stdzied_design_matrix
                        Generates a design matrix with standardized
                        predictors.
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
