Guided verified weighting in WFC 2.0

wf_autoweigh() gives survey researchers a narrated path over the verified engines. It no longer builds a target from raw runtime data. Prepare design, import target, and declare dims first.

guided <- wf_autoweigh(
  design,
  target,
  dims,
  method = "raking",
  trim = NULL,
  interactive = FALSE,
  lang = "en"
)

guided$weights
guided$diagnostics
guided$ledger

The ledger uses stable English programmatic keys while its detail text may be localized. Artifacts align with ledger rows so a statistician or agent can inspect each precheck, recommendation, and report.

Automatic mode chooses only from declared safe settings. It does not inspect outcomes, change the target, widen bounds, or manufacture approval.

wf_report(guided$weights, audience = "decision", lang = "zh_CN")
wf_report(guided$weights, audience = "statistician", lang = "en")

For production, prefer wf_plan_weights() plus separate wf_approve_plan() and wf_execute_plan() so human approval is bound to one immutable plan.

mirror server hosted at Truenetwork, Russian Federation.