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MSCMT: Multivariate Synthetic Control Method Using Time Series

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 Klößner (2018) <doi:10.1016/j.ecosta.2017.08.002>.

Version:1.4.1
Depends:R (≥ 3.2.0)
Imports:stats, utils, parallel,lpSolve,ggplot2,lpSolveAPI,Rglpk,Rdpack
Suggests:Synth,DEoptim,rgenoud,DEoptimR,GenSA,GA,soma,cmaes,Rmalschains,NMOF,nloptr,pso,LowRankQP,kernlab,reshape,knitr,rmarkdown
Published:2025-12-08
DOI:10.32614/CRAN.package.MSCMT
Author:Martin BeckerORCID iD [aut, cre], Stefan Klößner [aut], Karline Soetaert [com], Jack Dongarra [cph], R.J. Hanson [cph], K.H. Haskell [cph], Cleve Moler [cph], LAPACK authors [cph]
Maintainer:Martin Becker <martin.becker at mx.uni-saarland.de>
License:GPL-2 |GPL-3 [expanded from: GPL]
Copyright:inst/COPYRIGHTS
MSCMT copyright details
NeedsCompilation:yes
Materials:NEWS
CRAN checks:MSCMT results

Documentation:

Reference manual:MSCMT.html ,MSCMT.pdf
Vignettes:Checking and Improving Results of package Synth (source,R code)
SCM Using Time Series (source,R code)
Working with package MSCMT (source,R code)

Downloads:

Package source: MSCMT_1.4.1.tar.gz
Windows binaries: r-devel:MSCMT_1.4.1.zip, r-release:MSCMT_1.4.1.zip, r-oldrel:MSCMT_1.4.1.zip
macOS binaries: r-release (arm64):MSCMT_1.4.1.tgz, r-oldrel (arm64):MSCMT_1.4.1.tgz, r-release (x86_64):MSCMT_1.4.1.tgz, r-oldrel (x86_64):MSCMT_1.4.1.tgz
Old sources: MSCMT archive

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=MSCMTto link to this page.


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