R: Constructing Joint Distributions with Control Over Statistical Properties

# Constructing Joint Distributions with Control Over Statistical Properties

## Documentation for package ‘covalchemy’ version 1.0.0

- DESCRIPTION file
- Package README

## Help Pages

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 Interpolation
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 Annealing
get_simpsons_paradox_d | Introduce Simpson's Paradox in Discrete Data
get_target_corr | Generate Samples with Target Kendall's Tau Correlation Using a Copula Approach
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 Condition
simulated_annealing_SL | Simulated Annealing Optimization with Categorical Variable and R^2 Differences
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