coresynth: 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>.

Version: 0.2.0
Depends: R (≥ 4.1.0)
Imports: Rcpp, Formula, ggplot2, broom, jsonlite
LinkingTo: Rcpp, RcppArmadillo
Suggests: testthat (≥ 3.0.0), knitr, rmarkdown
Published: 2026-06-12
DOI: 10.32614/CRAN.package.coresynth (may not be active yet)
Author: Yosuke Abe [aut, cre]
Maintainer: Yosuke Abe <yosuke.abe0507 at gmail.com>
BugReports: https://github.com/yo5uke/coresynth/issues
License: MIT + file LICENSE
URL: https://github.com/yo5uke/coresynth, https://yo5uke.com/coresynth/
NeedsCompilation: yes
Materials: README, NEWS
CRAN checks: coresynth results

Documentation:

Reference manual: coresynth.html , coresynth.pdf
Vignettes: Get started with coresynth (source, R code)

Downloads:

Package source: coresynth_0.2.0.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries: r-release (arm64): coresynth_0.2.0.tgz, r-oldrel (arm64): coresynth_0.2.0.tgz, r-release (x86_64): coresynth_0.2.0.tgz, r-oldrel (x86_64): coresynth_0.2.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=coresynth to link to this page.