MSCMT (1.3.0)
Multivariate Synthetic Control Method Using Time Series.
http://cran.r-project.org/web/packages/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.
Maintainer:
Martin Becker
Author(s): Martin Becker [aut, cre], Stefan Klner [aut], Karline Soetaert [com], LAPACK authors [cph]
License: GPL
Uses: ggplot2, lpSolve, lpSolveAPI, Rdpack, Rglpk, DEoptim, LowRankQP, Synth, kernlab, reshape, rgenoud, cmaes, pso, soma, GenSA, nloptr, NMOF, knitr, Rmalschains, hydroPSO, GA, DEoptimR, rmarkdown
Released about 1 month ago.
3 previous versions
- MSCMT_1.2.0. Released 8 months ago.
- MSCMT_1.1.0. Released 10 months ago.
- MSCMT_1.0.0. Released about 1 year ago.
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