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tidysynth
View on CRAN: Click
here
Download and install tidysynth package within the R console
Install from CRAN:
install.packages("tidysynth")
Install from Github:
library("remotes")
install_github("cran/tidysynth")
Install by package version:
library("remotes")
install_version("tidysynth", "0.2.0")
Attach the package and use:
library("tidysynth")
Maintained by
Eric Dunford
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-01-27
Latest Update: 2023-05-21
Description:
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.
How to cite:
Eric Dunford (2021). tidysynth: A Tidy Implementation of the Synthetic Control Method. R package version 0.2.0, https://cran.r-project.org/web/packages/tidysynth
Previous versions and publish date:
0.1.0 (2021-01-27 10:10)
Other packages that cited tidysynth R package
View tidysynth citation profile
Other R packages that tidysynth depends,
imports, suggests or enhances
Functions, R codes and Examples using
the tidysynth R package
Some associated functions: generate_control . generate_predictor . generate_weights . grab_balance_table . grab_loss . grab_outcome . grab_predictor_weights . grab_predictors . grab_significance . grab_synthetic_control . grab_unit_weights . pipe . plot_differences . plot_mspe_ratio . plot_placebos . plot_trends . plot_weights . smoking . synth_method . synth_weights . synthetic_control .
Some associated R codes: data.R . globals.R . grab-methods.R . main.R . plot-methods.R . synth.R . utils-pipe.R . Full tidysynth package functions and examples
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