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SCtools  

Extensions for Synthetic Controls Analysis
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("SCtools", "0.3.3.1")



Attach the package and use:
library("SCtools")
Maintained by
Bruno Castanho Silva
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-12-12
Latest Update: 2025-01-27
Description:
Extensions to the synthetic controls analysesperformed by the package Synth as detailed in Abadie Diamond and Hainmueller 2011 doi 10.18637jss.v042.i13. Includes generatingand plotting placebos postpre-MSPE Mean Squared Prediction Error significance tests and plotsand calculating average treatment effects for multiple treated units.This package represents an implementation of those methodssuggested inAbadie Diamondand Hainmueller 2010 doi10.1198jasa.2009.ap08746 foruse in Synthetic Control Analysis.
How to cite:
Bruno Castanho Silva (2019). SCtools: Extensions for Synthetic Controls Analysis. R package version 0.3.3.1, https://cran.r-project.org/web/packages/SCtools. Accessed 06 Jun. 2026.
Previous versions and publish date:
0.3.0 (2019-12-12 14:40), 0.3.1 (2020-08-26 09:10), 0.3.2.1 (2022-06-09 13:20), 0.3.2 (2022-06-01 16:20), 0.3.3 (2024-05-01 20:32)
Other packages that cited SCtools R package
View SCtools citation profile
Other R packages that SCtools depends, imports, suggests or enhances
Complete documentation for SCtools
Functions, R codes and Examples using the SCtools R package
Some associated functions: SCtools-package . alcohol . generate.placebos . is_tdf . is_tdf_multi . mspe.plot . mspe.test . multiple.synth . plac.dist . plot_placebos . synth.data . 
Some associated R codes: SCtools-internal.R . SCtools.R . dataset.R . generate.placebos.R . mspe.plot.R . mspe.test.R . multiple.synth.R . plac.dist.R . plot.placebos.R . tdf.R .  Full SCtools package functions and examples
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