Workflow-Oriented Survey Weight Calibration R package WFC version 2.0.1 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>. Software Depends: R (>= 3.6.0) Imports: digest, parallel, stats, utils Suggests: cli, covr, generics, knitr, openxlsx, rmarkdown, survey, testthat (>= 3.0.0) Kunxiang Ma <makunxiang@weiandata.com> Comprehensive R Archive Network (CRAN) Kunxiang Ma [aut, cre], WEIAN DATA TECH (Beijing) Co., Ltd. [cph, fnd] GPL (>= 2) 2026-08-06 application/tgz https://CRAN.R-project.org/package=WFC doi:10.32614/CRAN.package.WFC