Builds analysis weights from design base weights by declaring the weighting process as an ordered recipe of explicit adjustments – unknown eligibility, within-cluster selection (e.g. within household), nonresponse, calibration, trimming, rounding, rescaling, assertions – and then estimating that recipe in one call. The package also produces replicate weights and design-based standard errors that carry the variability of the whole cascade, so a weighting project no longer has to end at the weights.
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().
Author
Maintainer: Juan Pablo Ferreira juanpablo.ferreira@fcea.edu.uy (ORCID) [copyright holder]
Authors:
Juan Pablo Ferreira juanpablo.ferreira@fcea.edu.uy (ORCID) [copyright holder]
Andrés Gutiérrez (ORCID)