Declarative Recipes for Staged Survey Weighting with
Recipe-Aware Replicate Variances
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Documentation for package ‘weightflow’ version 1.1.0
Help Pages
| as_svrepdesign | Export weightflow weights to a survey design |
| as_svydesign | Export weightflow weights to a survey design |
| bootstrap_estimate | Bootstrap estimate, standard error and confidence interval |
| bootstrap_weights | Recipe-aware bootstrap replicate weights |
| boot_mean | Bootstrap estimate, standard error and confidence interval |
| boot_total | Bootstrap estimate, standard error and confidence interval |
| collect_propensities | Recover the fitted response propensities of a nonresponse step |
| collect_replicate_weights | Collect replicate weights into a data frame ready for srvyr |
| collect_step_detail | Per-unit detail of one step of the cascade |
| collect_weights | Extract the data with the computed weights |
| design_effect | Kish design effect from unequal weighting |
| domain_summary | Per-domain weight summary at every stage of the cascade |
| jackknife_estimate | Jackknife estimate, standard error and confidence interval |
| jackknife_weights | Recipe-aware delete-a-PSU jackknife replicate weights |
| jack_mean | Jackknife estimate, standard error and confidence interval |
| jack_total | Jackknife estimate, standard error and confidence interval |
| plot.prepped_weighting_spec | Diagnostic plots for the weights |
| population | Synthetic target population (sampling frame) |
| prep | Estimate the weighting cascade |
| print.weightflow_boot | Print a bootstrap replicate-weight object |
| print.weightflow_jack | Print a jackknife replicate-weight object |
| report_weighting | Self-contained HTML quality report for a weighting recipe |
| sample_one | Synthetic address sample with one selected person per household |
| sample_survey | Synthetic person sample with a take-all household roster |
| step_assert | Assert quality conditions on the weights |
| step_calibrate | Calibration to population totals |
| step_drop_ineligible | Drop ineligible (out-of-scope) units |
| step_model_calibration | Model-assisted calibration (Wu and Sitter 2001) |
| step_nonresponse | Nonresponse adjustment |
| step_rescale | Rescale the weights to a fixed sum |
| step_round | Round the final weights |
| step_select_within | Within-cluster selection adjustment |
| step_trim | Trim extreme weights against a ratio |
| step_trim_calibrated | Trimmed calibration (range-restricted, totals-preserving) |
| step_trim_weights | Automatic weight trimming to an absolute band |
| step_unknown_eligibility | Unknown-eligibility adjustment |
| summary.prepped_weighting_spec | Detailed per-step diagnostics |
| weightflow-concepts | Conventions shared by every weightflow step |
| weighting_spec | Start a weighting specification |
| weight_factors | Per-unit adjustment factors table |
| y_model | Specify a working model for a study variable y |