R Observatory: Metrics for causalPAF version 1.2.5

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

causalPAF

1.2.5

Causal Effect for Population Attributable Fractions (PAF)

0packages depend

2.7Kdownloads / year

0.0%test coverage

0/13checks pass

Overview

About

Maintained by Maurice O'ConnellFirst published 2021-10-262 releasesCRAN page ↗GitHub ↗

Calculates population attributable fraction causal effects. The 'causalPAF' package contains a suite of functions for causal analysis calculations of population attributable fractions (PAF) given a causal diagram which apply both: Pathway-specific population attributable fractions (PS-PAFs) O’Connell and Ferguson (2022) doi:10.1093/ije/dyac079 and Sequential population attributable fractions Ferguson, O’Connell, and O’Donnell (2020) doi:10.1186/s13690-020-00442-x. Results are presentable in both table and plot format.

Install

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

install.packages("causalPAF", 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("MauriceOConnell/causalPAF")

Development version from MauriceOConnell/causalPAF. 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-causalpaf

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-causalPAF

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-causalPAF

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

Health

CRAN checks

13NOTE

Failing flavors

NOTE r-devel-linux-x86_64-debian-clang
NOTE r-devel-linux-x86_64-debian-gcc
NOTE r-devel-linux-x86_64-fedora-clang
NOTE r-devel-linux-x86_64-fedora-gcc
NOTE r-devel-windows-x86_64
NOTE r-oldrel-macos-arm64
NOTE r-oldrel-macos-x86_64
NOTE r-oldrel-windows-x86_64
NOTE r-patched-linux-x86_64
NOTE r-release-linux-x86_64
NOTE r-release-macos-arm64
NOTE r-release-macos-x86_64
NOTE r-release-windows-x86_64

Slowest check: 2.3 min · r-oldrel-windows-x86_64

Code health

Yes

Tests · ratio 0.00

0.0%

Coverage · measured lines

100%

Documentation · exports

15

Dependencies · direct

Check history

NOTE2026-06-09
0 OK · 13 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
ERROR2026-06-08
0 OK · 12 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
NOTE2026-03-10
0 OK · 14 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMEYes · 258 wordsVignettesNopkgdown siteNoNEWSYes · 67% structuredCode of conductNoContributing guideNo

Examples that run: 17%
Documented parameters: 100%
Return-value docs: 100%
References docs: 0%

Downloads

2.7K

CRAN downloads in the past year

Rank #14,837 · ~7/day · ~226/mo

Releases R versions

Daily download trend is not available in this view yet.

16230 days

69790 days

2.7K1 year

Compare downloads with other packages →

Also on128 r2u5 autocran

Repository

GitHub ↗ mauriceoconnell/causalpaf

2Stars

1Forks

0Open issues

0Open PRs

1Releases

41Commits

1Contributors

41 commits · Last activity 2022-08-20

Stars over time

2025-02-20 · 22026-07-07 · 2

Repository practices

Upstream repositoryBeta

4 development-tooling and community-health practices detected across 3 families in the upstream repository

Checks run against github.com/mauriceoconnell/causalpaf on 2026-08-16.

CRAN release process (2)

cran-comments.mdCRAN-SUBMISSION

Docs source (1)

README.Rmd

Lint, format, editor (1)

RStudio project

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

Dependencies

Declared dependencies

11 external dependencies (excludes base and recommended)

Depends (1)

R >= 2.10

Imports (15)

checkmate dagitty dplyr forestplot ggdag ggplot2gridgridExtra magrittrMASSreshape2 rlistsplinesstatsutils

LinkingTo (0)

none

Suggests (1)

spelling

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (2)

Maintainer (1)

Maurice O'Connell

Author, Copyright holder, Maintainer

Authors (2)

Maurice O'Connell

Author, Copyright holder, Maintainer

John Ferguson

Author, Copyright holder

Copyright holders (2)

Maurice O'Connell

Author, Copyright holder, Maintainer

John Ferguson

Author, Copyright holder

Package Timeline

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

R
R 4.6.0 released · 2026-04-24
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
1.2.5Latest
2022-08-20 · current release · diff ↗
R
R 4.2.0 released · 2022-04-22
1.2.4
2021-10-26
R
R 4.1.0 released · 2021-05-18

Package metadata

First published: 2021-10-26
Total releases: 2 / 5 yrs
License: GPL (>= 2) OSI
Minimum R: ≥ 2.10
Bundled data: 336 KB / 2 files
Download size: 1.0 MB
Installed size: not tracked yet
With dependencies: not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("causalPAF")

Format

O'Connell, M., & Ferguson, J. (2022). causalPAF: Causal Effect for Population Attributable Fractions (PAF) (Version 1.2.5) [Computer software]. https://doi.org/10.32614/CRAN.package.causalPAF

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 causalPAF version 1.2.5 [Data set]. HJJB, LLC. Data release v2026-08-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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