Package index
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scm_fit() - Fit a Synthetic Control Method Model
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pred() - Predictor Specification for SCM
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scm_design() - Experimental Synthetic Control Design
Inference
Permutation, bootstrap, jackknife, parametric, and conformal inference for the supported estimators.
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conformal_inference() - Conformal Inference for Synthetic Control Estimators
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mspe_ratio_pval() - Permutation Inference via MSPE Ratio for SCM
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scm_inference() - Wild Bootstrap Inference for Staggered SCM
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sdid_inference() - Inference for Synthetic Difference-in-Differences
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gsc_boot() - Parametric Bootstrap Inference for GSC (Xu 2017 S.3)
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gsc_inference() - Non-parametric Inference for GSC (Xu 2017)
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si_inference() - Non-parametric Inference for SI (Agarwal et al. 2025)
Diagnostics & robustness checks
Validation exercises recommended by Abadie, Diamond & Hainmueller (2015).
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placebo_in_time() - In-Time Placebo (Backdating) Test for SCM
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loo_donors() - Leave-One-Out Donor Robustness for SCM
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augment_scm() - Augmented Synthetic Control Method (Ridge ASCM)
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tidy(<coresynth_inference>) - Tidy an inference result
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glance(<coresynth_inference>) - Glance at an inference result
Accessors
Extract outcome series from any fit under a uniform interface, regardless of the estimation method.
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treated_outcomes()synthetic_outcomes()donor_outcomes() - Extract Outcome Series from a coresynth Fit
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plot(<coresynth>) - Plot a coresynth model
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plot(<scm_placebo>) - Plot SCM In-Space Placebo Results
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plot(<scm_design>) - Plot an scm_design object
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plot_data() - Extract the tidy data behind a coresynth plot
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export_json() - Export coresynth Results to JSON
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coresynthcoresynth-package - coresynth: Fast and Unified Synthetic Control Methods
Low-level C++ routines
Exported RcppArmadillo workhorses called internally by the wrappers. Most users do not need these directly.
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scm_weights_cpp() - SCM Outer Weights (Joint Optimization of W and V)
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scm_inner_weights_cpp() - SCM Inner Weights (QP Given V)
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scm_placebo_cpp() - Fast Leave-One-Out Placebo Test for SCM (Abadie et al. 2010)
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scm_placebo_x_cpp() - Fast Leave-One-Out Placebo Test for SCM with a Predictor Specification
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sdid_unit_weights_cpp() - Calculate SDID Unit Weights (omega)
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sdid_time_weights_cpp() - Calculate SDID Time Weights (lambda)
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sdid_estimate_cpp() - Calculate SDID Estimate (tau_sdid)
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sdid_placebo_cpp() - Fast Placebo Test for SDID
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gsc_ife_cpp() - Fast Interactive Fixed Effects (IFE) for Generalized Synthetic Control
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si_pcr_cpp() - SI-PCR: Synthetic Interventions via Principal Component Regression
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tensor_unfold_cpp() - Tensor Unfolding (Matricization) for Synthetic Interventions
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soft_impute_cpp() - Fast Matrix Completion using Soft-Impute Algorithm
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kalman_smoother_cpp() - Kalman Filter and RTS Smoother (TASC)