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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. A detailed description of the main algorithms is given in Becker and Klößner (2018) <doi:10.1016/j.ecosta.2017.08.002>.

Versions across snapshots

VersionRepositoryFileSize
1.4.1 rolling linux/jammy R-4.5 MSCMT_1.4.1.tar.gz 810.8 KiB
1.4.1 rolling linux/noble R-4.5 MSCMT_1.4.1.tar.gz 812.0 KiB
1.4.1 rolling source/ R- MSCMT_1.4.1.tar.gz 600.8 KiB
1.4.1 latest linux/jammy R-4.5 MSCMT_1.4.1.tar.gz 810.8 KiB
1.4.1 latest linux/noble R-4.5 MSCMT_1.4.1.tar.gz 812.0 KiB
1.4.1 latest source/ R- MSCMT_1.4.1.tar.gz 600.8 KiB
1.4.1 2026-04-26 source/ R- MSCMT_1.4.1.tar.gz 600.8 KiB
1.4.1 2026-04-23 source/ R- MSCMT_1.4.1.tar.gz 600.8 KiB
1.4.1 2026-04-09 windows/windows R-4.5 MSCMT_1.4.1.zip 987.3 KiB
1.4.0 2025-04-20 source/ R- MSCMT_1.4.0.tar.gz 601.8 KiB

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