weightflow: Declarative API for Staged Survey Weights

Builds survey weights from design base weights by chaining hierarchical adjustments (unknown eligibility, nonresponse and calibration) through a declarative, pipeable, 'tidymodels'-style API. Calibration follows Deville and Sarndal (1992) <doi:10.2307/2290268>. Variances are obtained with a bootstrap that resamples primary sampling units and re-applies the whole recipe on each replicate, following the rescaling bootstrap of Rao and Wu (1988) <doi:10.1080/01621459.1988.10478591>, so the replicate weights carry the variability of every adjustment. The weights also bridge to the 'survey' and 'srvyr' packages for design-based inference.

Version:	0.2.0
Depends:	R (≥ 4.1.0)
Imports:	stats, utils, graphics
Suggests:	MASS, rpart, ranger, testthat (≥ 3.0.0), survey, srvyr, dplyr, tidyr, ggplot2, haven, archive, knitr, rmarkdown, spelling, xgboost
Published:	2026-07-22
DOI:	10.32614/CRAN.package.weightflow
Author:	Juan Pablo Ferreira [aut, cre]
Maintainer:	Juan Pablo Ferreira <juanpablo.ferreira at fcea.edu.uy>
BugReports:	https://github.com/jpferreira33/weightflow/issues
License:	MIT + file LICENSE
URL:	https://github.com/jpferreira33/weightflow, https://jpferreira33.github.io/weightflow/
NeedsCompilation:	no
Language:	en-US
Materials:	README, NEWS
In views:	OfficialStatistics
CRAN checks:	weightflow results

Documentation:

Reference manual:

weightflow.html , weightflow.pdf

Vignettes:

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

Downloads:

Package source:	weightflow_0.2.0.tar.gz
Windows binaries:	r-devel: weightflow_0.1.0.zip, r-release: weightflow_0.1.0.zip, r-oldrel: weightflow_0.1.0.zip
macOS binaries:	r-release (arm64): weightflow_0.1.0.tgz, r-oldrel (arm64): weightflow_0.1.0.tgz, r-release (x86_64): weightflow_0.1.0.tgz, r-oldrel (x86_64): weightflow_0.1.0.tgz
Old sources:	weightflow archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=weightflow to link to this page.