falsifyr: Adversarial Robustness Attacks for Statistical Claims

Attacks fitted R model claims by searching for small plausible perturbations that make a target result disappear. The package focuses on claim-level fragility, smallest-kill reporting, and reproducible caveated robustness checks for ordinary fitted model objects. The methods draw on the fragility-index concept of Walsh et al. (2014) <doi:10.1016/j.jclinepi.2013.10.019>, multiverse analysis of Steegen et al. (2016) <doi:10.1177/1745691616658637>, specification-curve analysis of Simonsohn et al. (2020) <doi:10.1038/s41562-020-0912-z>, and robust covariance estimation of Zeileis (2004) <doi:10.18637/jss.v011.i10>.

Version:	1.0.0
Depends:	R (≥ 4.1)
Imports:	cli, ggplot2, parallel, rlang, stats, tibble, vctrs
Suggests:	broom, knitr, lme4, lmtest, rmarkdown, rstudioapi, sandwich, shiny, survival, testthat (≥ 3.0.0)
Published:	2026-08-07
DOI:	10.32614/CRAN.package.falsifyr
Author:	Markuss Saule [aut, cre, cph]
Maintainer:	Markuss Saule <markusstomas at gmail.com>
BugReports:	https://github.com/msaule/falsifyr/issues
License:	MIT + file LICENSE
URL:	https://github.com/msaule/falsifyr, https://msaule.github.io/falsifyr/
NeedsCompilation:	no
Language:	en-US
Materials:	README, NEWS
CRAN checks:	falsifyr results

Documentation:

Reference manual:	falsifyr.html , falsifyr.pdf
Vignettes:	Attacking a Regression Claim (source, R code) Interpreting Survival Scores (source, R code)

Downloads:

Package source:	falsifyr_1.0.0.tar.gz
Windows binaries:	r-devel: not available, r-release: falsifyr_1.0.0.zip, r-oldrel: falsifyr_1.0.0.zip
macOS binaries:	r-release (arm64): falsifyr_1.0.0.tgz, r-oldrel (arm64): falsifyr_1.0.0.tgz, r-release (x86_64): falsifyr_1.0.0.tgz, r-oldrel (x86_64): falsifyr_1.0.0.tgz

Linking:

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