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Fast and Unified Synthetic Control Methods

A unified 'Formula' interface to the Synthetic Control Method (SCM) and related panel-data causal inference estimators: Synthetic Difference-in-Differences (SDID), Generalized Synthetic Control (GSC), Matrix Completion (MC), Time-Aware Synthetic Control (TASC), and Synthetic Interventions (SI), together with an experimental-design variant. Computational bottlenecks (quadratic programming, singular value decomposition, and Kalman filtering) are implemented in 'C++' via 'RcppArmadillo'. Methods are described in Abadie, Diamond and Hainmueller (2010) <doi:10.1198/jasa.2009.ap08746>, Arkhangelsky, Athey, Hirshberg, Imbens and Wager (2021) <doi:10.1257/aer.20190159>, Xu (2017) <doi:10.1017/pan.2016.2>, Athey, Bayati, Doudchenko, Imbens and Khosravi (2021) <doi:10.1080/01621459.2021.1891924>, and Agarwal, Shah and Shen (2025) <doi:10.1287/opre.2025.1590>.

Versions across snapshots

VersionRepositoryFileSize
0.2.0 rolling linux/jammy R-4.5 coresynth_0.2.0.tar.gz 1.3 MiB
0.2.0 rolling linux/noble R-4.5 coresynth_0.2.0.tar.gz 1.3 MiB
0.2.0 rolling source/ R- coresynth_0.2.0.tar.gz 1.0 MiB
0.2.0 latest linux/jammy R-4.5 coresynth_0.2.0.tar.gz 1.3 MiB
0.2.0 latest linux/noble R-4.5 coresynth_0.2.0.tar.gz 1.3 MiB
0.2.0 latest source/ R- coresynth_0.2.0.tar.gz 1.0 MiB
0.2.0 2026-04-23 source/ R- coresynth_0.2.0.tar.gz 0 B

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