R Observatory: Metrics for CausalImpact version 1.4.1

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

CausalImpact

1.4.1

Inferring Causal Effects using Bayesian Structural Time-Series Models

3packages depend

79Kdownloads / year

98.6%test coverage

13/13checks pass

Overview

About

Maintained by Alain HauserFirst published 2017-04-1010 releasesCRAN page ↗

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.

Install

R (CRAN)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("CausalImpact", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-causalimpact

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-CausalImpact

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-CausalImpact

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed).

Health

CRAN checks

13OK

Slowest check: 4.1 min · r-oldrel-macos-x86_64

Code health

Yes

Tests · ratio 0.89

98.6%

Coverage · measured lines

100%

Documentation · exports

5

Dependencies · direct

Check history

OK2026-08-05
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
NOTE2026-08-01
12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
OK2026-03-10
14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMEYes · 286 wordsVignettesYes · dynamicpkgdown siteNoNEWSNoCode of conductNoContributing guideNo

Examples that run: 50%
Documented parameters: 100%
Return-value docs: 50%
References docs: 0%

Downloads

79K

CRAN downloads in the past year

Rank #1,923 · ~216/day · ~6.6K/mo

Releases R versions

Daily download trend is not available in this view yet.

2.7K30 days

11.8K90 days

79K1 year

Compare downloads with other packages →

Also on831 r2u21 autocran7K conda_forge295 c2d4u

Repository

GitHub ↗ google/causalimpact

1,851Stars

264Forks

26Open issues

5Open PRs

0Releases

92Commits

13Contributors

License Apache-2.0 · 92 commits · Last activity 2026-03-31 · +0.3% stars, 30d

Stars over time

2025-08-11 · 1,7412026-08-06 · 1,851

Repository practices

Upstream repositoryBeta

1 development-tooling and community-health practice detected across 1 family in the upstream repository

Checks run against github.com/google/causalimpact on 2026-08-09.

Continuous integration (1)

GitHub Actions

How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies

10 external dependencies (excludes base and recommended)

Depends (1)

bsts

Imports (4)

assertthat Boom ggplot2 zoo

LinkingTo (0)

none

Suggests (5)

covr knitr rmarkdown testthat vdiffr

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

3direct

0indirect

MarketMatching SPORTSCausal bivarhr

Code & Tests

People & History

People (2)

Maintainer (1)

Alain Hauser

Author, Maintainer

Authors (2)

Alain Hauser

Author, Maintainer

Kay H. Brodersen

Author

Listed in earlier versions (1)

Brodersen

no longer listed · 1.4.1

Package Timeline

10 releases. Pick two to compare their code metrics. R releases are shown for context.

R
R 4.6.0 released · 2026-04-24
1.4.1Latest
2025-09-27 · current release · diff ↗
R
R 4.5.0 released · 2025-04-11
R
R 4.4.0 released · 2024-04-24
R
R 4.3.0 released · 2023-04-21
1.3.0
2022-11-09 · diff ↗
R
R 4.2.0 released · 2022-04-22
1.2.7
2021-06-07 · diff ↗
R
R 4.1.0 released · 2021-05-18
1.2.6
2021-02-23 · diff ↗
1.2.5
2021-01-05 · diff ↗
R
R 4.0.0 released · 2020-04-24
1.2.4
2020-01-09 · diff ↗
R
R 3.6.0 released · 2019-04-26
R
R 3.5.0 released · 2018-04-23
1.2.3
2017-09-15 · diff ↗

Show 5 earlier events

1.2.2
2017-09-14 · diff ↗
1.2.1
2017-05-31 · diff ↗
R
R 3.4.0 released · 2017-04-21
1.2.0
2017-04-10
R
R 3.3.0 released · 2016-05-03

Package metadata

First published: 2017-04-10
Total releases: 10 / 9 yrs
License: Apache License 2.0 | file LICENSE OSI
Download size: 380 KB
Installed size: not tracked yet
With dependencies: not tracked yet

Appears in task views

Bayesian Inference Causal Inference

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("CausalImpact")

Format

Hauser, A., & Brodersen, K. H. (2025). CausalImpact: Inferring Causal Effects using Bayesian Structural Time-Series Models (Version 1.4.1) [Computer software]. https://doi.org/10.32614/CRAN.package.CausalImpact

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for CausalImpact version 1.4.1 [Data set]. HJJB, LLC. Data release v2026-08-15. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-15, which the citation names so these numbers can be found later. More on citing and the projects behind them.

Report a problem with this page →