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.
| Version: |
0.2.0 |
| Depends: |
R (≥ 3.5.0) |
| Imports: |
magrittr, tibble, dplyr, ggplot2, tidyr, forcats, rlang, kernlab, rgenoud, optimx, stats |
| Suggests: |
testthat |
| Published: |
2023-05-21 |
| 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 [issues need fixing before 2024-11-12] |
Documentation:
Downloads:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=tidysynth
to link to this page.