# Vignettes and other documentation

## 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, propensities and calibration | HTML | source | R code
weightflow::preparing-the-sample |  | Preparing the sample: eligibility and response before weighting | HTML | source | R code
weightflow::quality-report |  | Documenting and auditing the weights: the quality report | HTML | source | R code
weightflow::quickstart |  | From raw sample to final weights | HTML | source | R code
weightflow::trimming |  | Trimming survey 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