augment_matrix_random_block | Augment Matrix with Random 2x2 Block Adjustment |
calculate_tv_distance_empirical | Calculate Total Variation (TV) Distance Empirically |
entropy_pair | Calculate Entropy of a Pair |
gaussian_copula_two_vars | Generate Gaussian Copula Samples for Two Variables |
genCDFInv_akima | Generate an Inverse CDF Function Using Akima Spline... |
genCDFInv_linear | Generate an Inverse CDF Function Using Linear Interpolation |
genCDFInv_poly | Generate an Inverse CDF Function Using Polynomial Regression |
genCDFInv_quantile | Generate an Inverse CDF Function Using Quantiles |
generate_gaussian_copula_samples | Generate Gaussian Copula Samples |
generate_t_copula_samples | Generate t-Copula Samples |
gen_number_1 | Generate a New Number for Stepwise Modification |
gen_number_max | Generate a New Number for Maximizing Mutual Information |
gen_number_min | Generate a New Number for Minimizing Mutual Information |
get_mutual_information | Calculate Mutual Information |
get_optimal_grid | Get Optimal Grid Assignment |
get_simpsons_paradox_c | Simpson's Paradox Transformation with Copula and Simulated... |
get_simpsons_paradox_d | Introduce Simpson's Paradox in Discrete Data |
get_target_corr | Generate Samples with Target Kendall's Tau Correlation Using... |
get_target_entropy | Get Target Entropy |
log_odds_dc | Log-Odds Calculation for Concordant and Discordant Pairs |
objective_function_SL | Objective Function for Structural Learning (SL) |
plot_log_odds | Plot Log-Odds Before and After Transformation |
simulated_annealing_MI | Simulated Annealing Algorithm with Target Entropy Stopping... |
simulated_annealing_SL | Simulated Annealing Optimization with Categorical Variable... |
sinkhorn_algorithm | Sinkhorn Algorithm for Matrix Scaling |
softmax | Softmax Function with Special Handling for Infinite Values |
t_copula_two_vars | Generate t-Copula Samples for Two Variables |
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