Optimal Rerandomization Experimental Designs

---

Documentation for package ‘OptimalRerandExpDesigns’ version 1.1

• DESCRIPTION file.

Help Pages

complete_randomization_plus_one_min_one	Implements the complete randomization design (CRD) AKA Bernoulli Trial
complete_randomization_with_forced_balance_plus_one_min_one	Implements the balanced complete randomization design (BCRD)
compute_objective_val_plus_one_min_one_enc	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...
frob_norm_sq	Naive Frobenius Norm Squared
frob_norm_sq_debiased	Debiased Frobenius Norm Squared Var-Cov matrix
frob_norm_sq_debiased_times_matrix	Debiased Frobenius Norm Squared Constant Times Var-Cov matrix
generate_W_base_and_sort	Generate Base Assignments and Sorts
OptimalRerandExpDesigns	Optimal Rerandomization Threshold Search for Experimental Design
optimal_rerandomization_exact	Find the Optimal Rerandomization Design Exactly
optimal_rerandomization_normality_assumed	Find the Optimal Rerandomization Design Under the Gaussian Approximation
optimal_rerandomization_tail_approx	Find the Optimal Rerandomization Design Under the Tail and Kurtosis Approximation
plot.optimal_rerandomization_obj	Plots a summary of a 'optimal_rerandomization_obj' object
plot.W_base_object	Plots a summary of the imbalances in a 'W_base_object' object
print.optimal_rerandomization_obj	Prints a summary of a 'optimal_rerandomization_obj' object
print.W_base_object	Prints a summary of a 'W_base_object' object
summary.optimal_rerandomization_obj	Prints a summary of a 'optimal_rerandomization_obj' object
summary.W_base_object	Prints a summary of a 'W_base_object' object