weightflow: declarative survey weighting

Build survey weights from design base weights by chaining hierarchical adjustments (unknown eligibility, nonresponse, trimming, calibration, rounding, rescaling, assertions) through a declarative, pipeable, tidymodels-style API. Computes weights only; for variance/inference, export the weights and use them with the 'survey' package.

Details

Start with weighting_spec(), add step_*() adjustments, estimate the cascade with prep(), and extract the weights with collect_weights(). Inspect with summary(), plot() and report_weighting().

See also

Useful links:

• https://github.com/jpferreira33/weightflow

• https://jpferreira33.github.io/weightflow/

• Report bugs at https://github.com/jpferreira33/weightflow/issues

Author

Maintainer: Juan Pablo Ferreira juanpablo.ferreira@fcea.edu.uy

Authors:

• Juan Pablo Ferreira juanpablo.ferreira@fcea.edu.uy