Infers the causal effect of an intervention on a multivariate response through the use of Multivariate Bayesian Structural Time Series models (MBSTS) as described in Menchetti & Bojinov (2020) <doi:10.48550/arXiv.2006.12269>. The package also includes functions for model building and forecasting.
Version: 0.1.1 Depends: KFAS, R (≥ 3.5.0) Imports: CholWishart, forecast, MASS, Matrix, MixMatrix Suggests: testthat, knitr, rmarkdown Published: 2021-10-05 DOI: 10.32614/CRAN.package.CausalMBSTS Author: Iavor Bojinov [aut], Fiammetta Menchetti [aut, cre], Victoria L. Prince [ctb], Ista Zahn [ctb] Maintainer: Fiammetta Menchetti <fiammetta.menchetti at gmail.com> BugReports: https://github.com/FMenchetti/CausalMBSTS/issues License: GPL (≥ 3) NeedsCompilation: no Materials: NEWS In views: CausalInference CRAN checks: CausalMBSTS results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=CausalMBSTS to link to this page.
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