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# CITATION.cff file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "WFC" in publications use:'
type: software
license: GPL-2.0-or-later
title: 'WFC: Workflow-Oriented Survey Weight Calibration'
version: 2.0.1
doi: 10.32614/CRAN.package.WFC
abstract: 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) <https://doi.org/10.1080/01621459.1992.10475217>,
  and entropy balancing follows Hainmueller (2012) <https://doi.org/10.1093/pan/mpr025>.
authors:
- family-names: Ma
  given-names: Kunxiang
  email: makunxiang@weiandata.com
repository: https://weiandata.r-universe.dev
repository-code: https://github.com/weiandata/WFC
commit: 2e14ffb9884e0b4aae71a19e16cc1942f686b1de
url: https://github.com/weiandata/WFC
date-released: '2026-07-31'
contact:
- family-names: Ma
  given-names: Kunxiang
  email: makunxiang@weiandata.com