[aut, cre]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
[aut, cre] |
| Maintainer: | Eric Dunford <ed769 at georgetown.edu> |
| License: | MIT + file LICENSE |
| NeedsCompilation: | no |
| Materials: | README |
| 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: tidysynth_0.1.0.tgz, r-oldrel: tidysynth_0.1.0.tgz |
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