Returns a data frame with per-parameter classification details, including tier assignment, DER value, and flagging status.
Usage
# S3 method for class 'svyder'
summary(object, ...)References
Lee, J., Williams, M. R., & Savitsky, T. D. (2026). Design Effect Ratios for Bayesian Survey Models: A Diagnostic Framework for Identifying Survey-Sensitive Parameters. Journal of Survey Statistics and Methodology. Submitted.
See also
print.svyder() for a concise summary,
tidy.svyder() for a tidy data frame with posterior summaries.
Other svyder-methods:
as.matrix.svyder(),
glance.svyder(),
is.svyder(),
print.svyder(),
tidy.svyder()
Examples
data(nsece_demo)
result <- der_diagnose(
nsece_demo$draws,
y = nsece_demo$y, X = nsece_demo$X,
group = nsece_demo$group, weights = nsece_demo$weights,
cluster = nsece_demo$psu, family = "binomial",
sigma_theta = nsece_demo$sigma_theta,
param_types = nsece_demo$param_types
)
summary(result)
#> param_name param_type der tier tier_label flagged
#> beta[1] fe_between 0.2626885 I-b Protected (between) FALSE
#> beta[2] fe_within 2.6894416 I-a Survey-dominated TRUE
#> beta[3] fe_between 0.3430527 I-b Protected (between) FALSE
#> theta[1] re 3.3858856 II Protected (random effects) TRUE
#> theta[2] re 0.6759045 II Protected (random effects) FALSE
#> theta[3] re 1.1182861 II Protected (random effects) FALSE
#> theta[4] re 2.2098098 II Protected (random effects) TRUE
#> theta[5] re 1.5677648 II Protected (random effects) TRUE
#> theta[6] re 2.1043742 II Protected (random effects) TRUE
#> theta[7] re 2.2322332 II Protected (random effects) TRUE
#> theta[8] re 0.5997084 II Protected (random effects) FALSE
#> theta[9] re 5.3077337 II Protected (random effects) TRUE
#> theta[10] re 0.3239584 II Protected (random effects) FALSE
#> theta[11] re 2.6550681 II Protected (random effects) TRUE
#> theta[12] re 0.5000038 II Protected (random effects) FALSE
#> theta[13] re 0.2354213 II Protected (random effects) FALSE
#> theta[14] re 0.5529524 II Protected (random effects) FALSE
#> theta[15] re 1.5756844 II Protected (random effects) TRUE
#> theta[16] re 0.6803656 II Protected (random effects) FALSE
#> theta[17] re 0.8177403 II Protected (random effects) FALSE
#> theta[18] re 4.0246235 II Protected (random effects) TRUE
#> theta[19] re 1.9922108 II Protected (random effects) TRUE
#> theta[20] re 2.4691218 II Protected (random effects) TRUE
#> theta[21] re 1.7903889 II Protected (random effects) TRUE
#> theta[22] re 0.8754189 II Protected (random effects) FALSE
#> theta[23] re 1.3105172 II Protected (random effects) TRUE
#> theta[24] re 0.9748128 II Protected (random effects) FALSE
#> theta[25] re 0.7496725 II Protected (random effects) FALSE
#> theta[26] re 1.1578875 II Protected (random effects) FALSE
#> theta[27] re 2.3241799 II Protected (random effects) TRUE
#> theta[28] re 1.1860962 II Protected (random effects) FALSE
#> theta[29] re 1.6306621 II Protected (random effects) TRUE
#> theta[30] re 2.9678609 II Protected (random effects) TRUE
#> theta[31] re 1.2876481 II Protected (random effects) TRUE
#> theta[32] re 1.7154958 II Protected (random effects) TRUE
#> theta[33] re 0.7052294 II Protected (random effects) FALSE
#> theta[34] re 2.8436195 II Protected (random effects) TRUE
#> theta[35] re 1.2581949 II Protected (random effects) TRUE
#> theta[36] re 2.2803658 II Protected (random effects) TRUE
#> theta[37] re 0.7436107 II Protected (random effects) FALSE
#> theta[38] re 1.1182233 II Protected (random effects) FALSE
#> theta[39] re 2.2223976 II Protected (random effects) TRUE
#> theta[40] re 1.5668657 II Protected (random effects) TRUE
#> theta[41] re 1.8209951 II Protected (random effects) TRUE
#> theta[42] re 0.8845594 II Protected (random effects) FALSE
#> theta[43] re 2.3013513 II Protected (random effects) TRUE
#> theta[44] re 3.2167380 II Protected (random effects) TRUE
#> theta[45] re 1.5048423 II Protected (random effects) TRUE
#> theta[46] re 1.2253161 II Protected (random effects) TRUE
#> theta[47] re 2.1341967 II Protected (random effects) TRUE
#> theta[48] re 0.8883745 II Protected (random effects) FALSE
#> theta[49] re 0.7717870 II Protected (random effects) FALSE
#> theta[50] re 0.8962989 II Protected (random effects) FALSE
#> theta[51] re 0.7652428 II Protected (random effects) FALSE
#> action
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