Other packages > Find by keyword >

Synth  

Synthetic Control Group Method for Comparative Case Studies
View on CRAN: Click here


Download and install Synth package within the R console
Install from CRAN:
install.packages("Synth")

Install from Github:
library("remotes")
install_github("cran/Synth")

Install by package version:
library("remotes")
install_version("Synth", "1.1-8")



Attach the package and use:
library("Synth")
Maintained by
Jens Hainmueller
[Scholar Profile | Author Map]
First Published: 2007-02-11
Latest Update: 2023-06-02
Description:
Implements the synthetic control group method for comparative case studies as described in Abadie and Gardeazabal (2003) and Abadie, Diamond, and Hainmueller (2010, 2011, 2014). The synthetic control method allows for effect estimation in settings where a single unit (a state, country, firm, etc.) is exposed to an event or intervention. It provides a data-driven procedure to construct synthetic control units based on a weighted combination of comparison units that approximates the characteristics of the unit that is exposed to the intervention. A combination of comparison units often provides a better comparison for the unit exposed to the intervention than any comparison unit alone.
How to cite:
Jens Hainmueller (2007). Synth: Synthetic Control Group Method for Comparative Case Studies. R package version 1.1-8, https://cran.r-project.org/web/packages/Synth. Accessed 22 Apr. 2025.
Previous versions and publish date:
0.1-2 (2007-02-11 13:04), 0.1-3 (2007-09-23 21:54), 0.1-4 (2007-10-18 09:33), 0.1-5 (2007-12-19 11:44), 0.1-6 (2008-09-11 22:29), 0.1-8 (2011-03-15 09:14), 0.1-9 (2011-04-27 14:53), 1.1-1 (2011-09-28 15:47), 1.1-2 (2011-12-27 11:06), 1.1-3 (2012-10-24 14:31), 1.1-4 (2013-08-12 17:50), 1.1-5 (2014-01-27 00:37), 1.1-6 (2022-06-09 01:30)
Other packages that cited Synth R package
View Synth citation profile
Other R packages that Synth depends, imports, suggests or enhances
Complete documentation for Synth
Functions, R codes and Examples using the Synth R package
Some associated functions: basque . collect.optimx . dataprep . fn.V . gaps.plot . path.plot . spec.pred.func . synth.data . synth . synth.tab . 
Some associated R codes: collect.optimx.R . dataprep.R . fn.V.R . gaps.plot.R . path.plot.R . spec.pred.func.R . synth.R . synth.tab.R . zzz.R .  Full Synth package functions and examples
Downloads during the last 30 days
03/2303/2403/2503/2603/2703/2803/2903/3003/3104/0104/0204/0304/0404/0504/0604/0704/0804/0904/1004/1104/1204/1304/1404/1504/1604/1704/1804/1904/2004/21Downloads for Synth20406080100120140160180TrendBars

Today's Hot Picks in Authors and Packages

Qest  
Quantile-Based Estimator
Quantile-based estimators (Q-estimators) can be used to fit any parametric distribution, using its q ...
Download / Learn more Package Citations See dependency  
phylosamp  
Sample Size Calculations for Molecular and Phylogenetic Studies
Implements novel tools for estimating sample sizes needed for phylogenetic studies, including studi ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
ino  
Initialization of Numerical Optimization
Analysis of the initialization for numerical optimization of real-valued functions, including likel ...
Download / Learn more Package Citations See dependency  
GWPR.light  
Geographically Weighted Panel Regression
Geographically weighted panel regression is grounded in a branch of spatial statistics. Using geogra ...
Download / Learn more Package Citations See dependency  
optimStrat  
Choosing the Sample Strategy
Intended to assist in the choice of the sampling strategy to implement in a survey. ...
Download / Learn more Package Citations See dependency  

24,098

R Packages

207,311

Dependencies

65,069

Author Associations

24,099

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA