tidysynth: A Tidy Implementation of the Synthetic Control Method

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. For more information on the synthetic control method, see Abadie et al. (2003) <doi:10.1257/000282803321455188>.

Version: 0.1.0
Depends: R (≥ 3.5.0)
Imports: magrittr, tibble, dplyr, ggplot2, tidyr, forcats, rlang, kernlab, LowRankQP, rgenoud, optimx, stats
Suggests: testthat
Published: 2021-01-27
Author: Eric Dunford ORCID iD [aut, cre]
Maintainer: Eric Dunford <ed769 at georgetown.edu>
License: MIT + file LICENSE
NeedsCompilation: no
Materials: README
In views: CausalInference, Econometrics
CRAN checks: tidysynth results


Reference manual: tidysynth.pdf


Package source: tidysynth_0.1.0.tar.gz
Windows binaries: r-devel: tidysynth_0.1.0.zip, r-release: tidysynth_0.1.0.zip, r-oldrel: tidysynth_0.1.0.zip
macOS binaries: r-release (arm64): tidysynth_0.1.0.tgz, r-oldrel (arm64): tidysynth_0.1.0.tgz, r-release (x86_64): tidysynth_0.1.0.tgz, r-oldrel (x86_64): tidysynth_0.1.0.tgz


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