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 |