Man pages for covalchemy
Constructing Joint Distributions with Control Over Statistical Properties

augment_matrix_random_blockAugment Matrix with Random 2x2 Block Adjustment
calculate_tv_distance_empiricalCalculate Total Variation (TV) Distance Empirically
entropy_pairCalculate Entropy of a Pair
gaussian_copula_two_varsGenerate Gaussian Copula Samples for Two Variables
genCDFInv_akimaGenerate an Inverse CDF Function Using Akima Spline...
genCDFInv_linearGenerate an Inverse CDF Function Using Linear Interpolation
genCDFInv_polyGenerate an Inverse CDF Function Using Polynomial Regression
genCDFInv_quantileGenerate an Inverse CDF Function Using Quantiles
generate_gaussian_copula_samplesGenerate Gaussian Copula Samples
generate_t_copula_samplesGenerate t-Copula Samples
gen_number_1Generate a New Number for Stepwise Modification
gen_number_maxGenerate a New Number for Maximizing Mutual Information
gen_number_minGenerate a New Number for Minimizing Mutual Information
get_mutual_informationCalculate Mutual Information
get_optimal_gridGet Optimal Grid Assignment
get_simpsons_paradox_cSimpson's Paradox Transformation with Copula and Simulated...
get_simpsons_paradox_dIntroduce Simpson's Paradox in Discrete Data
get_target_corrGenerate Samples with Target Kendall's Tau Correlation Using...
get_target_entropyGet Target Entropy
log_odds_dcLog-Odds Calculation for Concordant and Discordant Pairs
objective_function_SLObjective Function for Structural Learning (SL)
plot_log_oddsPlot Log-Odds Before and After Transformation
simulated_annealing_MISimulated Annealing Algorithm with Target Entropy Stopping...
simulated_annealing_SLSimulated Annealing Optimization with Categorical Variable...
sinkhorn_algorithmSinkhorn Algorithm for Matrix Scaling
softmaxSoftmax Function with Special Handling for Infinite Values
t_copula_two_varsGenerate t-Copula Samples for Two Variables
covalchemy documentation built on April 12, 2025, 2:15 a.m.