Package: CausalImpact 1.4.1

Alain Hauser

CausalImpact: Inferring Causal Effects using Bayesian Structural Time-Series Models

Implements a Bayesian approach to causal impact estimation in time series, as described in Brodersen et al. (2015) <doi:10.1214/14-AOAS788>. See the package documentation on GitHub <https://google.github.io/CausalImpact/> to get started.

Authors:Kay H. Brodersen [aut], Alain Hauser [aut, cre]

CausalImpact_1.4.1.tar.gz
CausalImpact_1.4.1.zip(r-4.7)CausalImpact_1.4.1.zip(r-4.6)CausalImpact_1.4.1.zip(r-4.5)
CausalImpact_1.4.1.tgz(r-4.6-any)CausalImpact_1.4.1.tgz(r-4.5-any)
CausalImpact_1.4.1.tar.gz(r-4.7-any)CausalImpact_1.4.1.tar.gz(r-4.6-any)
CausalImpact_1.4.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
CausalImpact/json (API)

# Install 'CausalImpact' in R:
install.packages('CausalImpact', repos = c('https://google.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/google/causalimpact/issues

On CRAN:

Conda:

12.17 score 1.8k stars 2 packages 377 scripts 6.4k downloads 8 mentions 2 exports 25 dependencies

Last updated from:0f5bf8d97c. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK163
source / vignettesOK198
linux-release-x86_64OK179
macos-release-arm64OK186
macos-oldrel-arm64OK225
windows-develOK116
windows-releaseOK124
windows-oldrelOK115
wasm-releaseOK152

Exports:as.CausalImpactCausalImpact

Dependencies:assertthatBoomBoomSpikeSlabbstsclicpp11farverggplot2gluegtableisobandlabelinglatticelifecycleMASSR6RColorBrewerrlangS7scalesvctrsviridisLitewithrxtszoo

CausalImpact

Rendered fromCausalImpact.Rmdusingknitr::rmarkdownon May 24 2026.

Last update: 2025-09-26
Started: 2017-04-03