Package: CausalMBSTS
Type: Package
Title: MBSTS Models for Causal Inference and Forecasting
Version: 0.1.1
Authors@R: c(
    person("Iavor", "Bojinov", email = "ibojinov@hbs.edu", role = c("aut")),
    person("Fiammetta", "Menchetti", email = "fiammetta.menchetti@gmail.com", role = c("aut", "cre")),
    person("Victoria L.", "Prince", email = "vliublinska@hbs.edu", role = "ctb"),
    person("Ista", "Zahn", email = "izahn@hbs.edu", role = "ctb"))
BugReports: https://github.com/FMenchetti/CausalMBSTS/issues
Description: 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.  
License: GPL (>= 3)
Encoding: UTF-8
RoxygenNote: 7.1.2
Depends: KFAS, R (>= 3.5.0)
Imports: CholWishart, forecast, MASS, Matrix, MixMatrix
Suggests: testthat, knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2021-09-26 14:15:41 UTC; fiamm
Author: Iavor Bojinov [aut],
  Fiammetta Menchetti [aut, cre],
  Victoria L. Prince [ctb],
  Ista Zahn [ctb]
Maintainer: Fiammetta Menchetti <fiammetta.menchetti@gmail.com>
Repository: CRAN
Date/Publication: 2021-10-05 23:10:09 UTC
Built: R 4.1.0; ; 2021-10-06 13:10:20 UTC; unix
