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MSCMT  

Multivariate Synthetic Control Method Using Time Series
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("MSCMT", "1.4.1")



Attach the package and use:
library("MSCMT")
Maintained by
Martin Becker
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-07-25
Latest Update: 2024-03-19
Description:
Three generalizations of the synthetic control method (which has already an implementation in package 'Synth') are implemented: first, 'MSCMT' allows for using multiple outcome variables, second, time series can be supplied as economic predictors, and third, a well-defined cross-validation approach can be used. Much effort has been taken to make the implementation as stable as possible (including edge cases) without losing computational efficiency. A detailed description of the main algorithms is given in Becker and Kl
How to cite:
Martin Becker (2016). MSCMT: Multivariate Synthetic Control Method Using Time Series. R package version 1.4.1, https://cran.r-project.org/web/packages/MSCMT. Accessed 25 Jun. 2026.
Previous versions and publish date:
1.0.0 (2016-07-25 15:15), 1.1.0 (2016-11-29 18:10), 1.2.0 (2017-01-30 15:35), 1.3.0 (2017-08-17 10:36), 1.3.1 (2018-01-04 18:00), 1.3.2 (2018-02-19 21:06), 1.3.3 (2018-05-04 09:53), 1.3.4 (2019-11-14 12:00), 1.3.5 (2023-02-01 09:50), 1.3.6 (2023-03-09 16:20), 1.3.7 (2023-04-17 20:20), 1.3.8 (2023-11-13 15:03), 1.3.9 (2023-11-29 08:40), 1.4.0 (2024-03-19 11:20), 1.4.1 (2025-12-08 15:30), 1.4.2 (2026-05-19 15:40), 1.4.3 (2026-05-26 12:20)
Other packages that cited MSCMT R package
View MSCMT citation profile
Other R packages that MSCMT depends, imports, suggests or enhances
Complete documentation for MSCMT
Functions, R codes and Examples using the MSCMT R package
Some associated functions: MSCMTfunction . MSCMTpackage . compare . did . ggplot.mscmt . improveSynth . listFromLong . plot.mscmt . ppratio . print.mscmt . pvalue . 
Some associated R codes: Full MSCMT package functions and examples
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