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.
Version: 0.2.1 Depends: R (≥ 3.5.0) Imports: magrittr, tibble, dplyr, ggplot2, tidyr, forcats, rlang, kernlab, rgenoud, optimx, stats Suggests: testthat Published: 2025-03-24 DOI: 10.32614/CRAN.package.tidysynth Author: Eric Dunford [aut, cre] Maintainer: Eric Dunford <ed769 at georgetown.edu> License: MIT + file LICENSE NeedsCompilation: no Materials: README NEWS In views: CausalInference, Econometrics CRAN checks: tidysynth results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=tidysynth to link to this page.
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