| augment.scest | Augment Synthetic Control Data with Fitted Values and Residuals |
| b.est.clarabel.ols | Clarabel W Optimization - OLS (Unconstrained) |
| b.est.clarabel.simplex | Clarabel W Optimization - Simplex |
| b.est.clarabel.unified | Unified Clarabel W Optimization Dispatcher |
| b.est.cvxr.fallback | CVXR fallback function for W optimization |
| bootstrap_null_inference | Bootstrap-based significance testing under null hypothesis of no treatment effect |
| calculate_abadie_significance | Calculate Multiple Test Statistics and Rank-based P-values |
| calculate_bootstrap_pvalues | Calculate Bootstrap P-values Using Rank-Based Method |
| calculate_spec_curve_pvalues_filtered | Calculate Placebo-in-Space Curve-Level Inference |
| coef.scest | Coef Method for Synthetic Control Methods |
| create_analysis_config | Create Configuration for Multiple Dataset Analysis |
| create_bootstrap_dataset | Create Bootstrap Dataset by Unit-level Resampling |
| create_scm_dataset | Create Dataset for Synthetic Control Method |
| create_xgboost_config | Create Configuration for Direct Long Format Analysis |
| enforce_null_hypothesis | Enforce Null Hypothesis by Subtracting Treatment Effects |
| estimate_sc | Estimate Synthetic Control Model |
| formula-interface | Formula-Based Interface for SCMs |
| glance.scest | Extract Model-Level Summary Statistics |
| inference_placebo | Perform placebo inference with multiple test statistics |
| inference_sc | Perform Placebo Inference for Synthetic Control Results |
| perform_bootstrap_inference | Perform Bootstrap Inference |
| plot.spec_curve | Plot Method for Specification Curve Results |
| plot_spec_curve | Plot Specification Curve with Internal SHAP Computation and Filtering |
| print.scdata | Summary Method for Synthetic Control |
| print.scest | Print Method for Synthetic Control Methods |
| print.scest_formula | Print Method for Formula-Based Synthetic Control |
| print.spec_curve | S3 Methods for Specification Curve Objects |
| run_spec_curve_analysis | Run Specification Curve Analysis with Multiple Configurations |
| run_xgboost_shap_analysis | Run Direct XGBoost Analysis on Long Format Data |
| scdata | Create Synthetic Control Data Structure |
| scest | Synthetic Control Estimation for Single Treated Unit |
| scplot | Plot Synthetic Control Point Estimates and Prediction Interval |
| solve_qp_clarabel | Solve QP using Clarabel for V optimization |
| SpecResultsManager | Specification Results Storage Manager |
| spec_curve | *CORE ENGINE* - Specification Curve Computation |
| spec_curve-methods | S3 Methods for Specification Curve Objects |
| summary.scdata | Summary Method for Synthetic Control Prediction |
| summary.scest | Summary Method for Synthetic Control Prediction |
| summary.scest_formula | Summary Method for Formula-Based Synthetic Control |
| summary.spec_curve | Summary Method for Specification Curve Results |
| synth | Synthetic Control with Formula Interface |
| tidy-methods | Broom-Compatible Tidy Methods for Synthetic Control Objects |
| tidy.scest | Extract Synthetic Control Weights in Tidy Format |
| tidy.spec_curve | Extract Specification Curve Results in Tidy Format |