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CausalMBSTS  

MBSTS Models for Causal Inference and Forecasting
View on CRAN: Click here


Download and install CausalMBSTS package within the R console
Install from CRAN:
install.packages("CausalMBSTS")

Install from Github:
library("remotes")
install_github("cran/CausalMBSTS")

Install by package version:
library("remotes")
install_version("CausalMBSTS", "0.1.1")



Attach the package and use:
library("CausalMBSTS")
Maintained by
Fiammetta Menchetti
[Scholar Profile | Author Map]
First Published: 2020-11-03
Latest Update: 2021-10-05
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) . The package also includes functions for model building and forecasting.
How to cite:
Fiammetta Menchetti (2020). CausalMBSTS: MBSTS Models for Causal Inference and Forecasting. R package version 0.1.1, https://cran.r-project.org/web/packages/CausalMBSTS. Accessed 29 Mar. 2025.
Previous versions and publish date:
0.1.0 (2020-11-03 09:00)
Other packages that cited CausalMBSTS R package
View CausalMBSTS citation profile
Other R packages that CausalMBSTS depends, imports, suggests or enhances
Complete documentation for CausalMBSTS
Functions, R codes and Examples using the CausalMBSTS R package
Some associated functions: CausalMBSTS . as.mbsts . mcmc . model . plot.CausalMBSTS . predict.mbsts . print.summary.CausalMBSTS . summary.CausalMBSTS . 
Some associated R codes: as_mbsts.R . causal_mbsts.R . mbsts_mcmc.R . model_mbsts.R . plot_mbsts.R . predict_mbsts.R . print_CausalMBSTS.R .  Full CausalMBSTS package functions and examples
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