Evaluate precision and representativity decision rules — enemdu_evaluate

Applies the phase-2 precision classification contract based on ENEMDU methodological criteria. This function evaluates metrics already computed elsewhere.

Usage

enemdu_evaluate_precision(
  estimate,
  standard_error,
  cv = NULL,
  n = NULL,
  effective_n = NULL,
  deff = NULL,
  degrees_freedom,
  estimator_type = c("proportion_0_1", "ratio_0_1", "mean", "total", "other")
)

Arguments

estimate: Numeric estimate.
standard_error: Numeric standard error.
cv: Optional coefficient of variation. If omitted and possible, it is computed as standard_error / abs(estimate).
n: Optional raw sample size.
effective_n: Optional effective sample size.
deff: Optional design effect. If effective_n is missing and both n and deff are available, effective_n = n / deff.
degrees_freedom: Degrees of freedom.
estimator_type: One of "proportion_0_1", "ratio_0_1", "mean", "total" or "other".

Value

A one-row tibble with the precision decision.