Adversarial Robustness Attacks for Statistical Claims


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Documentation for package ‘falsifyr’ version 1.0.0

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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