R Observatory: Metrics for causalfrag version 0.2.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

causalfrag

0.2.0Package record

Cross-Framework Sensitivity Analysis with an OLS Crosswalk

0packages depend

1.2Kdownloads / year

29.3%test coverage

13/13flavors OK

Overview

About

Maintained by Subir HaitCRAN page ↗GitHub ↗Issues ↗

Runs, classifies, interprets and reports sensitivity analyses for unmeasured confounding across the partial R-squared robustness value approach (Cinelli and Hazlett, 2020, doi:10.1111/rssb.12348), E-values (VanderWeele and Ding, 2017, doi:10.7326/M16-2607), and the impact threshold for a confounding variable and robustness of inference to replacement (Frank, 2000, doi:10.1177/0049124100029002001; Frank, Maroulis, Duong and Kelcey, 2013, doi:10.3102/0162373713493129). An ordinary least squares crosswalk reports the robustness values, impact threshold and replacement percentage computed from the focal t statistic and residual degrees of freedom, makes explicit that their agreement is largely fixed by that shared input, and flags the boundary band in which they disagree. Template-based plain-language reports are included, with optional integration with the 'confoundvis' package for plots.

Changes in 0.2.0

New

crosswalk() reports the point and inference Robustness Values, the conditional ITCV and the RIR percentage computed from the focal |t| and residual degrees of freedom, states that their agreement is largely fixed by that shared input, and flags the boundary band in which ITCV and RIR are positive while the inference Robustness Value is still zero. Methods for lm fits, sens_results objects and a bare t statistic.
run_sensitivity() attaches the crosswalk to sens_results objects built from lm fits; print() and generate_report() display it.

Deprecated

The Causal Fragility Index (compute_cfi(), compute_cfi_weighted(), compute_cfi_benchmarked(), compare_cfi(), print_cfi()) is deprecated and will be removed in a future release. Under OLS, most of its components are functions of the same |t| and degrees of freedom, so the composite counted the same test information several times. flag_fragility() no longer computes it automatically.

Show all changes in 0.2.0Hide the rest of the changes in 0.2.0

Breaking changes

sens_report() is renamed fragility_report() so that it no longer masks confoundvis::sens_report() when both packages are attached.

Bug fixes

The konfound call in run_sensitivity() now passes nobs(model) and the number of model-matrix columns, so the residual degrees of freedom match the fitted model when factors or missing values are present.

From NEWS.md in the release

Install

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

install.packages("causalfrag", 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("subirhait/causalfrag")

Development version from subirhait/causalfrag. 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-causalfrag

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled. We list this channel from recorded r2u download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

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-causalfrag

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-causalfrag

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed). We list this channel from recorded autoCRAN download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

Health

CRAN checks

13OK

CRAN check page ↗

Slowest check: 1.9 min · r-release-macos-x86_64

Status changes

OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK6 OK2026-06-16

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.2.0

README· In the repository, left out of the releaseVignettesYes · 1 · dynamicNEWSYes · 100% structured · mentions 0.2.0Citation fileNoWebsitenot declared in DESCRIPTION

Help pages: 23 (2 internal)includes a package overview page
Examples that run: 20%3 run in a plain check · 12 only when donttest examples are enabled (R CMD check --as-cran)
Exported functions with examples: 88%
Documented parameters: 100%
Return-value docs: 100%
Help pages citing references: 9%

Vignettes (1)

Getting started with causalfrag HTML

How these are measured

Downloads

1.2K

CRAN downloads in the past year

Rank #14,195 · ~3/day · ~97/mo

Releases R versions

Daily download trend is not available in this view yet.

34730 days

83290 days

1.2K1 year

Compare downloads with other packages →

Also on25 r2u7 autocran

How downloads are counted

Repository

subirhait/causalfrag ↗Account: subirhait

0Stars

0Forks

0Open issues

0Open PRs

0Releases

Last activity 2026-06-06 · The default branch showed an older version (0.1.1) than CRAN on 2026-10-21

Responsiveness

not measured

Earlier repositories

github.com/causalfragility-lab/causalfrag · last recorded on 2026-10-01

How these are measured

PracticesBeta

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

Checks run against github.com/subirhait/causalfrag on 2026-10-21.

CRAN release process (2)

cran-comments.mdCRAN-SUBMISSION

Lint, format, editor (1)

RStudio project

Git structural (1)

.gitattributes

How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies

14 external dependencies (excludes base and recommended)

Installing causalfrag adds 4 packages (4 with compiled code, 2.5 MB of source tarballs). Heaviest: jsonlite 1.0 MB, rlang 766 KB, cli 629 KB.

Depends (1)

R >= 4.1.0

Imports (4)

cli rlang jsonlite glue

LinkingTo (0)

none

Suggests (10)

httr2 confoundvis sensemakr (>= 0.1.4)EValue konfound rbounds (>= 2.1)rmarkdown knitr testthat (>= 3.0.0)withr

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

People & History

People (1)

Subir Hait

Author, Maintainer since 0.1.1 (2026)

Releases (2)

Pick two releases to compare their code metrics.

0.2.0Latest
record
2026-10-01 · current release · diff ↗ ·
removed 1 export
sens_report

added 2 exports
crosswalk, fragility_report
0.1.1
record
2026-06-15
R
R 4.6.0 released · 2026-04-24

Package metadata

First published: 2026-06-15
Total releases: 2 / 1 yrs
License: MIT + file LICENSE OSI
Minimum R: ≥ 4.1.0
Download size: 49 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("causalfrag")

Format

Hait, S. (2026). causalfrag: Cross-Framework Sensitivity Analysis with an OLS Crosswalk (Version 0.2.0) [Computer software]. https://doi.org/10.32614/CRAN.package.causalfrag

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

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 causalfrag version 0.2.0 [Data set]. HJJB, LLC. Data release v2026-10-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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