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Classify Parameters by Design Sensitivity

Source: R/der_classify.R
der_classify.Rd

Assigns each parameter to a design-sensitivity tier and flags those whose DER exceeds the threshold tau. The three-tier classification:

  • Tier I-a (fe_within): Survey-dominated parameters.

  • Tier I-b (fe_between): Protected between-cluster parameters.

  • Tier II (re): Protected random effects.

Usage

der_classify(x, tau = 1.2, verbose = TRUE)

Arguments

x

A svyder object from der_compute().

tau

Threshold (default 1.2). Parameters with DER > tau are flagged.

verbose

Print classification summary (default TRUE).

Value

A svyder object with updated classification and tau fields.

Details

Parameters with DER > tau (strict inequality) are flagged for correction, regardless of tier.

See also

der_compute() for computing DER values, der_correct() for applying corrections, der_diagnose() for the all-in-one pipeline.

Other core-pipeline: der_compute(), der_correct(), der_diagnose()

Examples

data(nsece_demo)
result <- der_compute(
  nsece_demo$draws,
  y = nsece_demo$y, X = nsece_demo$X,
  group = nsece_demo$group, weights = nsece_demo$weights,
  psu = nsece_demo$psu, family = "binomial",
  sigma_theta = nsece_demo$sigma_theta,
  param_types = nsece_demo$param_types
)
result <- der_classify(result, tau = 1.2)
#> DER Classification (tau = 1.20)
#>   Total parameters: 54
#>   Flagged: 30 (55.6%)
#>   Flagged parameters:
#>     beta[2]: DER = 2.687 [I-a] -> CORRECT
#>     theta[1]: DER = 3.384 [II] -> CORRECT
#>     theta[4]: DER = 2.212 [II] -> CORRECT
#>     theta[5]: DER = 1.571 [II] -> CORRECT
#>     theta[6]: DER = 2.103 [II] -> CORRECT
#>     theta[7]: DER = 2.241 [II] -> CORRECT
#>     theta[9]: DER = 5.315 [II] -> CORRECT
#>     theta[11]: DER = 2.653 [II] -> CORRECT
#>     theta[15]: DER = 1.573 [II] -> CORRECT
#>     theta[18]: DER = 4.022 [II] -> CORRECT
#>     theta[19]: DER = 1.992 [II] -> CORRECT
#>     theta[20]: DER = 2.477 [II] -> CORRECT
#>     theta[21]: DER = 1.790 [II] -> CORRECT
#>     theta[23]: DER = 1.311 [II] -> CORRECT
#>     theta[27]: DER = 2.326 [II] -> CORRECT
#>     theta[29]: DER = 1.632 [II] -> CORRECT
#>     theta[30]: DER = 2.972 [II] -> CORRECT
#>     theta[31]: DER = 1.290 [II] -> CORRECT
#>     theta[32]: DER = 1.713 [II] -> CORRECT
#>     theta[34]: DER = 2.842 [II] -> CORRECT
#>     theta[35]: DER = 1.259 [II] -> CORRECT
#>     theta[36]: DER = 2.277 [II] -> CORRECT
#>     theta[39]: DER = 2.222 [II] -> CORRECT
#>     theta[40]: DER = 1.567 [II] -> CORRECT
#>     theta[41]: DER = 1.818 [II] -> CORRECT
#>     theta[43]: DER = 2.300 [II] -> CORRECT
#>     theta[44]: DER = 3.233 [II] -> CORRECT
#>     theta[45]: DER = 1.515 [II] -> CORRECT
#>     theta[46]: DER = 1.228 [II] -> CORRECT
#>     theta[47]: DER = 2.141 [II] -> CORRECT