VCG Sampling using Energy-Based Covariate Balancing
The function attempts to find the optimal size for VCG.
Combine data from pool and treated groups
Compute Energy Distance Between Two Groups
Permutation Energy Test for Covariate Imbalance
Multi-Sample VCG Generator and Overlap Visualization
Visualize Covariate Distribution Across TG, VCG, and POOL
Robust Scaling of Numeric and Categorical Variables
VCG Sampler for Energy Distance Balancing
Provides a principled framework for sampling Virtual Control Group (VCG) using energy distance-based covariate balancing. The package offers visualization tools to assess covariate balance and includes a permutation test to evaluate the statistical significance of observed deviations.