R: Adversarial Robustness Attacks for Statistical Claims

# Adversarial Robustness Attacks for Statistical Claims

## Documentation for package ‘falsifyr’ version 1.0.0

- DESCRIPTION file.
- User guides, package vignettes and other documentation.
- Package NEWS.

## Help Pages

attack | Attack a statistical claim
attack_leaderboard | Extract the attack leaderboard
attack_this_claim | Launch the Attack This Claim RStudio addin
broom-methods | Convert an attack result to a tidy leaderboard
extract_claim | Extract the statistical claim from a model
extract_claim.anova | Extract the statistical claim from a model
extract_claim.aov | Extract the statistical claim from a model
extract_claim.coxph | Extract the statistical claim from a model
extract_claim.default | Extract the statistical claim from a model
extract_claim.glm | Extract the statistical claim from a model
extract_claim.htest | Extract the statistical claim from a model
extract_claim.lm | Extract the statistical claim from a model
extract_claim.merMod | Extract the statistical claim from a model
fragile_trial | Synthetic fragile trial data
glance.falsifyr_attack | Convert an attack result to a tidy leaderboard
is_killed | Decide whether a perturbed claim is killed
refit_model | Refit a model on perturbed data
refit_model.aov | Refit a model on perturbed data
refit_model.coxph | Refit a model on perturbed data
refit_model.glm | Refit a model on perturbed data
refit_model.lm | Refit a model on perturbed data
refit_model.merMod | Refit a model on perturbed data
report | Write an HTML attack report
resilient_trial | Synthetic resilient trial data
score_survival | Score claim survival
smallest_kill | Extract the smallest kill from an attack result
tidy.falsifyr_attack | Convert an attack result to a tidy leaderboard