Adversarial Robustness Attacks for Statistical Claims R package falsifyr version 1.0.0 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>. Software 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) Markuss Saule <markusstomas@gmail.com> Comprehensive R Archive Network (CRAN) Markuss Saule [aut, cre, cph] MIT + file LICENSE (https://CRAN.R-project.org/package=falsifyr/LICENSE) 2026-08-07 application/tgz https://CRAN.R-project.org/package=falsifyr doi:10.32614/CRAN.package.falsifyr en-US