Run a Strict Model-Readiness Audit — audit_model_readiness

Extends audit_model_readiness() with explicit overall condition balance, binary within-group outcome variation, identifier-like predictor review, fixed-effects rank, duration extremes and boundaries, and optional binary separation screening.

Usage

audit_model_readiness_strict(
  data,
  contract,
  condition_warning_fraction = 0.1,
  condition_failure_fraction = 0.02,
  identifier_unique_fraction = 0.9,
  duration_allowed_range = NULL,
  censor_col = NULL,
  run_separation = TRUE
)

Arguments

data: A data frame.
contract: An approved model contract.
condition_warning_fraction, condition_failure_fraction: Condition balance thresholds.
identifier_unique_fraction: Identifier-like uniqueness threshold.
duration_allowed_range: Optional positive duration bounds.
censor_col: Optional duration censoring indicator.
run_separation: Whether to run the optional fixed-effects separation screen when the family is binary.

Value

A gp3bayes_strict_readiness_audit object.