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This is a conservative pre-fit audit. It does not prove global identifiability. It verifies support, design connectivity, channel coverage, response variation, and the explicit scale constraints used by the reference likelihoods.

Usage

audit_multimodal_m2_identifiability(
  x,
  person = "person_id",
  item = "item_id",
  response = "response",
  rt = "rt",
  gaze = "gaze",
  model = c("M2", "M1", "M0"),
  min_persons = 20L,
  min_items = 5L
)

Arguments

x

Data frame or compatible M2 object.

person, item, response, rt, gaze

Column names.

model

`"M0"`, `"M1"`, or `"M2"`.

min_persons, min_items

Conservative design thresholds.

Value

An `eye_multimodal_m2_identifiability` object.