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
| Version | Repository | File | Size |
|---|---|---|---|
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 |