Package: falsifyr
Title: Adversarial Robustness Attacks for Statistical Claims
Version: 1.0.0
Authors@R: 
    person("Markuss", "Saule", , "markusstomas@gmail.com", role = c("aut", "cre", "cph"))
Description: 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>.
License: MIT + file LICENSE
URL: https://github.com/msaule/falsifyr,
        https://msaule.github.io/falsifyr/
BugReports: https://github.com/msaule/falsifyr/issues
Language: en-US
Encoding: UTF-8
LazyData: true
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)
VignetteBuilder: knitr
Config/testthat/edition: 3
Config/roxygen2/version: 8.0.0
NeedsCompilation: no
Packaged: 2026-07-31 02:40:11 UTC; saule
Author: Markuss Saule [aut, cre, cph]
Maintainer: Markuss Saule <markusstomas@gmail.com>
Repository: CRAN
Date/Publication: 2026-08-07 20:20:02 UTC
