Iteratively detect, clean, and recalibrate after process change points

Usage

recalibrate_after_changepoint(
  data,
  fitter,
  person = "participant_id",
  order = "item_order",
  policy = c("flag", "exclude_post_change", "add_regime"),
  ...
)

Arguments

data: Input data frame or compatible tabular object.
fitter: Function accepting a data frame and returning a calibration fit.
person: Person or participant identifier column.
order: Within-sequence ordering variable.
policy: `flag`, `exclude_post_change`, or `add_regime`.
...: Additional arguments passed to the selected model, engine, or method.