Decide whether a perturbed claim is killed — is_killed • falsifyr

Applies the selected kill rule to a claim extracted from a perturbed model.

Usage

is_killed(
  claim,
  original_claim = NULL,
  alpha = claim$alpha %||% 0.05,
  kill_rule = claim$kill_rule %||% "p_over_alpha",
  effect_threshold = claim$effect_threshold
)

Arguments

claim: A claim list, typically produced by extract_claim().
original_claim: Optional original claim. Required for "sign_flip".
alpha: Significance level for "p_over_alpha".
kill_rule: Character scalar naming the kill rule.
effect_threshold: Numeric threshold for "effect_below_threshold".

Value

TRUE if the claim is killed, otherwise FALSE.

Examples

fit <- lm(score ~ treatment + age, data = fragile_trial)
claim <- extract_claim(fit, term = "treatment")
is_killed(claim)
#> [1] TRUE