Verified calibration methods in WFC 2.0

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All public calibration methods in WFC 2.0 require the wf_design_data and wf_verified_target objects created in the verified workflow. The examples below assume design, target, and dims have already passed import and review as shown in vignette("safe-weighting-workflow").

Fixed-tolerance soft calibration

Soft calibration is for a tolerance declared before outcomes are inspected. It does not search for a target, widen tolerance automatically, or optimize a study result. The declared tolerance and any relaxed external margin appear in the result and statistical report.

soft <- wf_calibrate(
  design,
  target,
  method = "soft",
  tolerance = 0.02
)

wf_report(soft, audience = "statistician")$sections$soft_relaxation

If the declared tolerance cannot resolve infeasibility, WFC stops. Select a different external target only through a new, independently reviewed workflow.

Categorical entropy balancing

Entropy balancing may use only the categorical margins contained in the verified target.

ebal <- wf_calibrate(
  design,
  target,
  method = "ebal",
  tol = 1e-10
)

wf_report(ebal, audience = "statistician")

WFC 2.0 has no inline desired-mean interface. Continuous outcome goals, pass-rate goals, and desired intervals are not weighting inputs.

Bounded logit calibration

Bounds are reviewable settings, not values that WFC expands automatically:

bounded <- wf_calibrate(
  design,
  target,
  method = "logit",
  bounds = c(0.3, 3)
)

For a consequential analysis, record why the method and settings are suitable and include them in the human plan review.

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.