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weightflow  

Declarative Recipes for Staged Survey Weighting with Recipe-Aware Replicate Variances
View on CRAN: Click here


Download and install weightflow package within the R console
Install from CRAN:
install.packages("weightflow")

Install from Github:
library("remotes")
install_github("cran/weightflow")

Install by package version:
library("remotes")
install_version("weightflow", "1.3.0")



Attach the package and use:
library("weightflow")
Maintained by
Juan Pablo Ferreira
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-06-30
Latest Update: 2026-06-30
Description:
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.
How to cite:
Juan Pablo Ferreira (2026). weightflow: Declarative Recipes for Staged Survey Weighting with Recipe-Aware Replicate Variances. R package version 1.3.0, https://cran.r-project.org/web/packages/weightflow. Accessed 25 Oct. 2026.
Previous versions and publish date:
(2026-10-16 04:30), 0.1.0 (2026-06-30 13:30), 0.2.0 (2026-07-22 19:10), 1.0.0 (2026-08-04 19:10), 1.1.0 (2026-08-19 13:20), 1.2.0 (2026-08-30 05:30), 1.3.0 (2026-09-11 22:10)
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