Man pages for weightflow
Declarative API for Staged Survey Weights
| as_svydesign | Export weightflow weights to a survey design |
| bootstrap_estimate | Bootstrap estimate, standard error and confidence interval |
| bootstrap_weights | Bootstrap replicate weights that re-apply the recipe |
| collect_replicate_weights | Collect replicate weights into a data frame ready for srvyr |
| collect_weights | Extract the data with the computed weights |
| design_effect | Kish design effect from unequal weighting |
| jackknife_estimate | Jackknife estimate, standard error and confidence interval |
| jackknife_weights | Delete-a-PSU jackknife replicate weights that re-apply the... |
| plot.prepped_weighting_spec | Diagnostic plots for the weights |
| population | Example target population for weightflow |
| prep | Estimate the weighting cascade |
| report_weighting | Build a nice HTML report of the weighting recipe |
| sample_one | Example survey sample (select-one-person, multistage) |
| sample_survey | Example survey sample (take-all roster) |
| step_assert | Assert conditions on the weights at this point of the cascade |
| step_calibrate | Calibration to population totals |
| step_drop_ineligible | Drop ineligible (out-of-scope) units |
| step_model_calibration | Model calibration (model-assisted, Wu & Sitter 2001) |
| step_nonresponse | Nonresponse adjustment |
| step_rescale | Rescale (normalize) the weights |
| step_round | Round the final weights |
| step_select_within | Within-household selection adjustment |
| step_trim | Trim extreme weights |
| step_trim_weights | Automatic weight trimming (survey-style) |
| step_unknown_eligibility | Unknown-eligibility adjustment |
| summary.prepped_weighting_spec | Detailed per-step diagnostics |
| weight_factors | Per-unit adjustment factors table |
| weightflow-package | weightflow: declarative survey weighting |
| weighting_spec | Start a weighting specification |
| y_model | Specify a working model for a study variable y |
