Fast and Unified Synthetic Control Methods R package coresynth version 0.2.0 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>. Software Depends: R (>= 4.1.0) Imports: Rcpp, Formula, ggplot2, broom, jsonlite LinkingTo: Rcpp, RcppArmadillo Suggests: testthat (>= 3.0.0), knitr, rmarkdown Yosuke Abe <yosuke.abe0507@gmail.com> Comprehensive R Archive Network (CRAN) Yosuke Abe [aut, cre] MIT + file LICENSE (https://CRAN.R-project.org/package=coresynth/LICENSE) 2026-06-12 application/tgz https://CRAN.R-project.org/package=coresynth doi:10.32614/CRAN.package.coresynth