MSCMT (1.3.0)

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Multivariate Synthetic Control Method Using Time Series.

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.

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