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WFC  

Workflow-Oriented Survey Weight Calibration
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("WFC", "2.0.1")



Attach the package and use:
library("WFC")
Maintained by
Kunxiang Ma
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-08-06
Latest Update: 2026-08-06
Description:
Provides a disciplined precheck, execution, and diagnostics workflow for survey weighting and raking. Weight construction requires design-only data, a verified external target, outcome-blind planning, and human approval before weight locking, with bilingual reports for decision and statistical audiences. Converts calibrated and replicate weights into standard survey designs, provides optional broom-style result projections, and records serializable production pipeline provenance. Supports fixed, predeclared soft calibration tolerances and categorical entropy balancing from verified margins, plus panel attrition weighting, high-influence unit diagnostics, Fay's balanced repeated replication, and opt-in parallel execution for long runs. Calibration methods follow Deville and Saerndal (1992) <doi:10.1080/01621459.1992.10475217>, and entropy balancing follows Hainmueller (2012) <doi:10.1093/pan/mpr025>.
How to cite:
Kunxiang Ma (2026). WFC: Workflow-Oriented Survey Weight Calibration. R package version 2.0.1, https://cran.r-project.org/web/packages/WFC. Accessed 20 Sep. 2026.
Previous versions and publish date:
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View WFC citation profile
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Complete documentation for WFC
Functions, R codes and Examples using the WFC R package
Full WFC package functions and examples
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