Multivariate Synthetic Control Method Using Time Series. Two 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. Much effort has been taken to make the implementation as stable as possible (including edge cases) without losing computational efficiency.
| Version: | 1.2.0 |
| Depends: | R (≥ 3.0.0) |
| Imports: | stats, utils, parallel, lpSolve, ggplot2 |
| Suggests: | Synth, DEoptim, rgenoud, DEoptimR, GenSA, GA, soma, cmaes, Rmalschains, NMOF, nloptr, hydroPSO, pso, LowRankQP, kernlab, reshape, knitr, rmarkdown |
| Published: | 2017-01-30 |
| Author: | Martin Becker [aut, cre], Stefan Kloessner [aut], Karline Soetaert [com], 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_1.2.0.tar.gz |
| Windows binaries: | r-devel: MSCMT_1.2.0.zip, r-release: MSCMT_1.2.0.zip, r-oldrel: MSCMT_1.2.0.zip |
| OS X El Capitan binaries: | r-release: MSCMT_1.2.0.tgz |
| OS X Mavericks binaries: | r-oldrel: MSCMT_1.2.0.tgz |
| Old sources: | MSCMT archive |
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