MSCMT (1.3.4)
Multivariate Synthetic Control Method Using Time Series.
http://cran.r-project.org/web/packages/MSCMT
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 Klner (2018) .
Maintainer:
Martin Becker
Author(s): Martin Becker [aut, cre] (<https://orcid.org/0000-0003-2336-9751>), Stefan Klner [aut], Karline Soetaert [com], Jack Dongarra [cph], R.J. Hanson [cph], K.H. Haskell [cph], Cleve Moler [cph], 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 4 months ago.
7 previous versions
- MSCMT_1.3.3. Released almost 2 years ago.
- MSCMT_1.3.2. Released about 2 years ago.
- MSCMT_1.3.1. Released about 2 years ago.
- MSCMT_1.3.0. Released over 2 years ago.
- MSCMT_1.2.0. Released about 3 years ago.
- MSCMT_1.1.0. Released about 3 years ago.
- MSCMT_1.0.0. Released over 3 years ago.
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