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