Skip to contents

weightflow 1.1.0

Get started
- Quick start
- From raw sample to final weights
- The weighting cascade
- Preparing the sample: eligibility and response before weighting
- Nonresponse: weighting classes, propensities and calibration
- Calibration: raking, post-stratification and GREG
- Ways to specify calibration totals
- Model calibration (model-assisted weighting)
- Trimming survey weights
- Machine learning, cross-fitting and robust calibration
- Reporting
- Documenting and auditing the weights: the quality report
- Case study
- A full weighting pipeline on a real household survey (ECH 2019)
- Variance and validation
- Variance estimation
- Validation against the survey package
Reference
Changelog

License

YEAR: 2026
COPYRIGHT HOLDER: Juan Pablo Ferreira

Developed by Juan Pablo Ferreira.

Site built with pkgdown 2.2.1.