{ "_id": "6a3020a63efcd9bda433d55b", "Package": "MSCMT", "Type": "Package", "Encoding": "UTF-8", "Version": "1.4.4", "Date": "2026-06-15", "Title": "Multivariate Synthetic Control Method Using Time Series", "Authors@R": "c(person(\"Martin\",\"Becker\", role = c(\"aut\",\"cre\"),\nemail = \"martin.becker@mx.uni-saarland.de\",\ncomment=c(ORCID=\"0000-0003-2336-9751\")),\nperson(\"Stefan\",\"Klößner\", role = c(\"aut\"),\nemail = \"S.Kloessner@mx.uni-saarland.de\"),\nperson(\"Karline\",\"Soetaert\", role = c(\"com\"),\nemail = \"karline.soetaert@nioz.nl\"),\nperson(\"Jack\",\"Dongarra\",role=c(\"cph\"),\nemail = \"dongarra@icl.utk.edu\"),\nperson(\"R.J.\",\"Hanson\",role=c(\"cph\")),\nperson(\"K.H.\",\"Haskell\",role=c(\"cph\")),\nperson(\"Cleve\",\"Moler\",role=c(\"cph\")),\nperson(\"LAPACK authors\", role = \"cph\"))", "Description": "Three generalizations of the synthetic control method\n(which has already an implementation in package 'Synth') are\nimplemented: first, 'MSCMT' allows for using multiple outcome\nvariables, second, time series can be supplied as economic\npredictors, and third, a well-defined cross-validation approach\ncan be used. Much effort has been taken to make the\nimplementation as stable as possible (including edge cases)\nwithout losing computational efficiency. A detailed description\nof the main algorithms is given in Becker and Klößner (2018)\n.", "License": "GPL", "Copyright": "inst/COPYRIGHTS", "VignetteBuilder": "knitr", "RdMacros": "Rdpack", "BuildVignettes": "yes", "Config/roxygen2/version": "8.0.0", "URL": "https://github.com/mabe0033/MSCMT", "BugReports": "https://github.com/mabe0033/MSCMT/issues", "NeedsCompilation": "yes", "Packaged": { "Date": "2026-06-15 15:52:58 UTC", "User": "root" }, "Author": "Martin Becker [aut, cre] (ORCID:\n), Stefan Klößner [aut],\nKarline Soetaert [com], Jack Dongarra [cph], R.J. Hanson [cph],\nK.H. 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