A Tidy Implementation of the Synthetic Control Method R package tidysynth version 0.2.1 CRAN Task View: CausalInference (https://CRAN.R-project.org/view=CausalInference) CRAN Task View: Econometrics (https://CRAN.R-project.org/view=Econometrics) A synthetic control offers a way of evaluating the effect of an intervention in comparative case studies. The package makes a number of improvements when implementing the method in R. These improvements allow users to inspect, visualize, and tune the synthetic control more easily. A key benefit of a tidy implementation is that the entire preparation process for building the synthetic control can be accomplished in a single pipe. Software Depends: R (>= 3.5.0) Imports: magrittr, tibble, dplyr, ggplot2, tidyr, forcats, rlang, kernlab, rgenoud, optimx, stats Suggests: testthat Eric Dunford <ed769@georgetown.edu> Comprehensive R Archive Network (CRAN) Eric Dunford [aut, cre] (ORCID: <https://orcid.org/0000-0003-3056-8687>) MIT + file LICENSE (https://CRAN.R-project.org/package=tidysynth/LICENSE) 2025-03-24 application/tgz https://CRAN.R-project.org/package=tidysynth doi:10.32614/CRAN.package.tidysynth