[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]MSCMT copyright details
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: | 1.3.4 |
| 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, hydroPSO, pso, LowRankQP, kernlab, reshape, knitr, rmarkdown |
| Published: | 2019-11-14 |
| Author: | Martin Becker
[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 |
| Reference manual: | MSCMT.pdf |
| Vignettes: |
Checking and Improving Results of package Synth SCM Using Time Series Working with package MSCMT |
| Package source: | MSCMT_1.3.4.tar.gz |
| Windows binaries: | r-devel: MSCMT_1.3.4.zip, r-release: MSCMT_1.3.4.zip, r-oldrel: MSCMT_1.3.4.zip |
| macOS binaries: | r-release: MSCMT_1.3.4.tgz, r-oldrel: MSCMT_1.3.4.tgz |
| Old sources: | MSCMT archive |
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