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coresynth  

Fast and Unified Synthetic Control Methods
View on CRAN: Click here


Download and install coresynth package within the R console
Install from CRAN:
install.packages("coresynth")

Install from Github:
library("remotes")
install_github("cran/coresynth")

Install by package version:
library("remotes")
install_version("coresynth", "0.5.0")



Attach the package and use:
library("coresynth")
Maintained by
Yosuke Abe
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-06-12
Latest Update: 2026-06-12
Description:
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>.
How to cite:
Yosuke Abe (2026). coresynth: Fast and Unified Synthetic Control Methods. R package version 0.5.0, https://cran.r-project.org/web/packages/coresynth. Accessed 06 Oct. 2026.
Previous versions and publish date:
(2026-08-25 13:40), 0.2.0 (2026-06-12 12:10), 0.2.2 (2026-06-26 15:30), 0.2.4 (2026-07-04 06:30), 0.3.0 (2026-07-12 17:50), 0.4.0 (2026-07-20 17:00), 0.4.1 (2026-07-29 01:30)
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Complete documentation for coresynth
Functions, R codes and Examples using the coresynth R package
Full coresynth package functions and examples
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