Specification Curve Analysis for Synthetic Control Methods


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Documentation for package ‘SCMs’ version 0.1.1

Help Pages

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