Fast and Unified Synthetic Control Methods

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Documentation for package ‘coresynth’ version 0.2.0

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

Help Pages

augment_scm	Augmented Synthetic Control Method (Ridge ASCM)
conformal_inference	Conformal Inference for Synthetic Control Estimators
export_json	Export coresynth Results to JSON
glance.coresynth_inference	Glance at an inference result
gsc_boot	Parametric Bootstrap Inference for GSC (Xu 2017 §3)
gsc_ife_cpp	Fast Interactive Fixed Effects (IFE) for Generalized Synthetic Control
gsc_inference	Non-parametric Inference for GSC (Xu 2017)
kalman_smoother_cpp	Kalman Filter and RTS Smoother (TASC)
mspe_ratio_pval	Permutation Inference via MSPE Ratio for SCM
plot.coresynth	Plot a coresynth model
plot.scm_design	Plot an scm_design object
pred	Predictor Specification for SCM
scm_design	Experimental Synthetic Control Design
scm_fit	Fit a Synthetic Control Method Model
scm_inner_weights_cpp	SCM Inner Weights (QP Given V)
scm_placebo_cpp	Fast Leave-One-Out Placebo Test for SCM (Abadie et al. 2010)
scm_weights_cpp	SCM Outer Weights (Joint Optimization of W and V)
sdid_estimate_cpp	Calculate SDID Estimate (tau_sdid)
sdid_inference	Inference for Synthetic Difference-in-Differences
sdid_placebo_cpp	Fast Placebo Test for SDID
sdid_time_weights_cpp	Calculate SDID Time Weights (lambda)
sdid_unit_weights_cpp	Calculate SDID Unit Weights (omega)
si_inference	Non-parametric Inference for SI (Agarwal et al. 2025)
si_pcr_cpp	SI-PCR: Synthetic Interventions via Principal Component Regression
soft_impute_cpp	Fast Matrix Completion using Soft-Impute Algorithm
tensor_unfold_cpp	Tensor Unfolding (Matricization) for Synthetic Interventions
tidy.coresynth_inference	Tidy an inference result