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, ...)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$weights,
psu = nsece_demo$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 0.2617696 I-b Protected (between) FALSE
#> beta[2] fe_within 2.6868825 I-a Survey-dominated TRUE
#> beta[3] fe_between 0.3427294 I-b Protected (between) FALSE
#> theta[1] re 3.3838218 II Protected (random effects) TRUE
#> theta[2] re 0.6758803 II Protected (random effects) FALSE
#> theta[3] re 1.1187639 II Protected (random effects) FALSE
#> theta[4] re 2.2120536 II Protected (random effects) TRUE
#> theta[5] re 1.5713900 II Protected (random effects) TRUE
#> theta[6] re 2.1027473 II Protected (random effects) TRUE
#> theta[7] re 2.2407594 II Protected (random effects) TRUE
#> theta[8] re 0.5988151 II Protected (random effects) FALSE
#> theta[9] re 5.3148375 II Protected (random effects) TRUE
#> theta[10] re 0.3234469 II Protected (random effects) FALSE
#> theta[11] re 2.6531533 II Protected (random effects) TRUE
#> theta[12] re 0.4991804 II Protected (random effects) FALSE
#> theta[13] re 0.2349819 II Protected (random effects) FALSE
#> theta[14] re 0.5524033 II Protected (random effects) FALSE
#> theta[15] re 1.5732575 II Protected (random effects) TRUE
#> theta[16] re 0.6809155 II Protected (random effects) FALSE
#> theta[17] re 0.8168582 II Protected (random effects) FALSE
#> theta[18] re 4.0217038 II Protected (random effects) TRUE
#> theta[19] re 1.9919767 II Protected (random effects) TRUE
#> theta[20] re 2.4774293 II Protected (random effects) TRUE
#> theta[21] re 1.7898408 II Protected (random effects) TRUE
#> theta[22] re 0.8740200 II Protected (random effects) FALSE
#> theta[23] re 1.3111319 II Protected (random effects) TRUE
#> theta[24] re 0.9736441 II Protected (random effects) FALSE
#> theta[25] re 0.7492859 II Protected (random effects) FALSE
#> theta[26] re 1.1561149 II Protected (random effects) FALSE
#> theta[27] re 2.3264034 II Protected (random effects) TRUE
#> theta[28] re 1.1845663 II Protected (random effects) FALSE
#> theta[29] re 1.6319237 II Protected (random effects) TRUE
#> theta[30] re 2.9722557 II Protected (random effects) TRUE
#> theta[31] re 1.2897827 II Protected (random effects) TRUE
#> theta[32] re 1.7132695 II Protected (random effects) TRUE
#> theta[33] re 0.7049967 II Protected (random effects) FALSE
#> theta[34] re 2.8424594 II Protected (random effects) TRUE
#> theta[35] re 1.2585246 II Protected (random effects) TRUE
#> theta[36] re 2.2770740 II Protected (random effects) TRUE
#> theta[37] re 0.7444208 II Protected (random effects) FALSE
#> theta[38] re 1.1215973 II Protected (random effects) FALSE
#> theta[39] re 2.2220272 II Protected (random effects) TRUE
#> theta[40] re 1.5670170 II Protected (random effects) TRUE
#> theta[41] re 1.8183090 II Protected (random effects) TRUE
#> theta[42] re 0.8853889 II Protected (random effects) FALSE
#> theta[43] re 2.2998027 II Protected (random effects) TRUE
#> theta[44] re 3.2334813 II Protected (random effects) TRUE
#> theta[45] re 1.5147483 II Protected (random effects) TRUE
#> theta[46] re 1.2276126 II Protected (random effects) TRUE
#> theta[47] re 2.1405640 II Protected (random effects) TRUE
#> theta[48] re 0.8888311 II Protected (random effects) FALSE
#> theta[49] re 0.7703205 II Protected (random effects) FALSE
#> theta[50] re 0.8947901 II Protected (random effects) FALSE
#> theta[51] re 0.7644108 II Protected (random effects) FALSE
#> action
#> retain
#> CORRECT
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