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Dirty data and safe infeasibility handling

WFC stops early when design roles, source evidence, checksums, categories, or sample support are inconsistent. A stop is evidence to repair or review the inputs, not permission to choose a more convenient target.

Common safe responses are:

• remove outcome or undeclared columns before wf_prepare_design();
• correct a target file and update its evidence checksum;
• reconcile category spelling against wf_dims();
• document a deterministic support-based merge with wf_plan_cells(); or
• conclude that the requested calibration is not feasible.

design <- wf_prepare_design(
  design_only,
  id = "person_id",
  calibration = c("age_group", "region"),
  base_weight = "base_weight"
)

target <- wf_import_target(
  "population-margins.csv",
  "population-margins.csv.source.dcf",
  dims,
  key_map = c(age_group = "age_group", region = "region"),
  count = "population_count"
)

precheck <- wf_precheck(design$data, target, id = design$roles$id)
cell_plan <- wf_plan_cells(design, target, dims)

WFC never widens bounds, changes method, changes target, or approves a plan in response to infeasibility. Those are separate human decisions and may require a new workflow.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.