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 
[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 |
Documentation:
Downloads:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=tidysynth
to link to this page.