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 2024-11-30]

Documentation:

Reference manual:

tidysynth.pdf

Downloads:

Package source:	tidysynth_0.2.0.tar.gz
Windows binaries:	r-devel: tidysynth_0.2.0.zip, r-release: tidysynth_0.2.0.zip, r-oldrel: tidysynth_0.2.0.zip
macOS binaries:	r-release (arm64): tidysynth_0.2.0.tgz, r-oldrel (arm64): tidysynth_0.2.0.tgz, r-release (x86_64): tidysynth_0.2.0.tgz, r-oldrel (x86_64): tidysynth_0.2.0.tgz
Old sources:	tidysynth archive

Linking:

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