Vignettes and other documentation

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Vignettes from package 'weightflow'

weightflow::advanced-methods Machine learning, cross-fitting and robust calibration HTML source R code
weightflow::calibration-totals Ways to specify calibration totals HTML source R code
weightflow::calibration Calibration: raking, post-stratification and GREG HTML source R code
weightflow::model-calibration Model calibration (model-assisted weighting) HTML source R code
weightflow::nonresponse-propensities Nonresponse: weighting classes and propensities HTML source R code
weightflow::preparing-the-sample Preparing the sample: eligibility and response before weighting HTML source R code
weightflow::quickstart From raw sample to final weights HTML source R code
weightflow::validation-against-survey Validation against the survey package HTML source R code
weightflow::variance-estimation Variance estimation HTML source R code
weightflow::weightflow Staged survey weighting: the adjustment logic HTML source R code