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CausalImpact  

Inferring Causal Effects using Bayesian Structural Time-Series Models
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("CausalImpact", "1.4.1")



Attach the package and use:
library("CausalImpact")
Maintained by
Alain Hauser
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-04-10
Latest Update: 2022-11-09
Description:
Implements a Bayesian approach to causal impact estimation in time series, as described in Brodersen et al. (2015) . See the package documentation on GitHub to get started.
How to cite:
Alain Hauser (2017). CausalImpact: Inferring Causal Effects using Bayesian Structural Time-Series Models. R package version 1.4.1, https://cran.r-project.org/web/packages/CausalImpact. Accessed 05 Aug. 2026.
Previous versions and publish date:
1.2.0 (2017-04-10 14:59), 1.2.1 (2017-05-31 16:01), 1.2.2 (2017-09-14 15:48), 1.2.3 (2017-09-15 00:22), 1.2.4 (2020-01-09 00:02), 1.2.5 (2021-01-05 00:30), 1.2.6 (2021-02-23 13:20), 1.2.7 (2021-06-07 08:40), 1.3.0 (2022-11-09 09:40), (2026-07-09 08:00)
Other packages that cited CausalImpact R package
View CausalImpact citation profile
Other R packages that CausalImpact depends, imports, suggests or enhances
Complete documentation for CausalImpact
Functions, R codes and Examples using the CausalImpact R package
Some associated functions: AsCausalImpact . CausalImpact . CausalImpactMethods . 
Some associated R codes: impact_analysis.R . impact_inference.R . impact_misc.R . impact_model.R . impact_plot.R .  Full CausalImpact package functions and examples
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