R Observatory: Metrics for causens version 0.0.3

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

causens

0.0.3

Perform Causal Sensitivity Analyses Using Various Statistical Methods

0packages depend

2.1Kdownloads / year

77.9%test coverage

13/13checks pass

Overview

About

Maintained by Larry DongFirst published 2025-06-051 releasesCRAN page ↗GitHub ↗

While data from randomized experiments remain the gold standard for causal inference, estimation of causal estimands from observational data is possible through various confounding adjustment methods. However, the challenge of unmeasured confounding remains a concern in causal inference, where failure to account for unmeasured confounders can lead to biased estimates of causal estimands. Sensitivity analysis within the framework of causal inference can help adjust for possible unmeasured confounding. In `causens`, three main methods are implemented: adjustment via sensitivity functions (Brumback, Hernán, Haneuse, and Robins (2004) doi:10.1002/sim.1657 and Li, Shen, Wu, and Li (2011) doi:10.1093/aje/kwr096), Bayesian parametric modelling and Monte Carlo approaches (McCandless, Lawrence C and Gustafson, Paul (2017) doi:10.1002/sim.7298).

Install

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

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

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

if (!requireNamespace("pak", quietly = TRUE))
  install.packages("pak", repos = "https://cloud.r-project.org/")
pak::pak("Kuan-Liu-Lab/causens")

Development version from Kuan-Liu-Lab/causens. Installs pak first if it is not already available.

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-causens

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-causens

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-causens

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

Health

CRAN checks

13OK

Slowest check: 22.8 min · r-oldrel-windows-x86_64

Code health

Yes

Tests · ratio 0.50

77.9%

Coverage · measured lines

100%

Documentation · exports

0

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 · 164 wordsVignettesYes · dynamicpkgdown siteNoNEWSNoCode of conductNoContributing guideNo

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

Downloads

2.1K

CRAN downloads in the past year

Rank #20,134 · ~6/day · ~173/mo

Releases R versions

Daily download trend is not available in this view yet.

15130 days

55190 days

2.1K1 year

Compare downloads with other packages →

Also on116 r2u21 autocran

Repository

GitHub ↗ kuan-liu-lab/causens

1Stars

0Forks

10Open issues

2Open PRs

3Releases

69Commits

2Contributors

causal-inferencersensitivity-analysis

69 commits · Last activity 2025-06-03

Stars over time

2023-10-30 · 12026-07-07 · 1

Repository practices

Upstream repositoryBeta

2 development-tooling and community-health practices detected across 2 families in the upstream repository

Checks run against github.com/kuan-liu-lab/causens on 2026-08-16.

Continuous integration (1)

GitHub Actions

Lint, format, editor (1)

RStudio project

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

Dependencies

Declared dependencies

10 external dependencies (excludes base and recommended)

Depends (0)

none

Imports (0)

none

LinkingTo (0)

none

Suggests (10)

devtools knitr pkgdown PSweight rjags rmarkdown roxygen2 testthat usethis waldo

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (3)

Maintainer (1)

Larry Dong

Author, Maintainer

Authors (3)

Larry Dong

Author, Maintainer

Kuan Liu

Author

Yushu Zou

Author

Package Timeline

1 release. R releases are shown for context.

R
R 4.6.0 released · 2026-04-24
0.0.3Latest
2026-03-10 · current release
R
R 4.5.0 released · 2025-04-11

Package metadata

First published: 2025-06-05
Total releases: 1 / 1 yrs
License: MIT + file LICENSE OSI
Download size: 521 KB
Installed size: not tracked yet
With dependencies: not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("causens")

Format

Dong, L., Liu, K., & Zou, Y. (2025). causens: Perform Causal Sensitivity Analyses Using Various Statistical Methods (Version 0.0.3) [Computer software]. https://doi.org/10.32614/CRAN.package.causens

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 causens version 0.0.3 [Data set]. HJJB, LLC. Data release v2026-08-22. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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