MBSTS Models for Causal Inference and Forecasting R package CausalMBSTS version 0.1.1 CRAN Task View: CausalInference (https://CRAN.R-project.org/view=CausalInference) 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) <arXiv:2006.12269>. The package also includes functions for model building and forecasting. Software Depends: KFAS, R (>= 3.5.0) Imports: CholWishart, forecast, MASS, Matrix, MixMatrix Suggests: testthat, knitr, rmarkdown Fiammetta Menchetti <fiammetta.menchetti@gmail.com> Comprehensive R Archive Network (CRAN) Iavor Bojinov [aut], Fiammetta Menchetti [aut, cre], Victoria L. Prince [ctb], Ista Zahn [ctb] GPL (>= 3) 2021-10-05 application/tgz https://CRAN.R-project.org/package=CausalMBSTS doi:10.32614/CRAN.package.CausalMBSTS