AugBalWeight 0.1.0

• Initial CRAN release of AugBalWeight.
• Implements augmented balancing weights as linear regression based on Bruns-Smith, Dukes, Feller, and Ogburn (2026, JRSSB, DOI: 10.1093/jrsssb/qkaf019).
• Supports double_ridge (l2 balancing), double_lasso (l-infinity balancing), and general augmented outcome models.
• Includes hyperparameter cross-validation for outcome models, covariate balance, and Riesz loss.
• Provides aug_bal_ate and aug_bal_att wrappers for causal inference with treatment effect estimation.
• Features balance diagnostic plotting, robust EIF standard errors, and counterfactual prediction methods.