Detailed per-step diagnostics
Usage
# S3 method for class 'prepped_weighting_spec'
summary(object, ...)Examples
fitted <- weighting_spec(sample_survey, base_weights = pw) |>
step_nonresponse(respondent = responded, method = "weighting_class", by = "region") |>
prep()
summary(fitted)
#>
#> == Weighting specification (weightflow) ==
#> Data : 467 cases
#> Base wts: pw
#> Steps :
#> 1. nonresponse (weighting class)
#> Status : estimated (prep)
#>
#> Stage summary:
#> stage n_active sum_wts cv_wts deff_kish n_eff
#> base 467 4371 0.236 1.056 442
#> stage_1_step_nonresponse 270 4371 0.144 1.021 265
#>
#> deff_kish = 1 + CV^2 (Kish design effect from unequal weighting);
#> n_eff = n_active / deff_kish. Both worsen with each adjustment and
#> improve with trimming.
#>
#> --- Step 1: nonresponse (weighting class) ---
#> cell n_respondents n_nonresponse factor
#> East 52 44 1.846154
#> North 78 41 1.525641
#> South 72 49 1.680556
#> West 68 63 1.926471
#> Kish deff: 1.056 -> 1.021 | n_eff: 442 -> 265
#>