Multimodal trait-model convenience wrapper — fit_multimodal_trait

Extends the gaze/RT architecture to noncognitive or other latent traits by allowing caller-defined semantic labels. The statistical engine is delegated to `fit_joint_gaze_rt_irt()`; interpretation remains the researcher's job.

Usage

fit_multimodal_trait_irt(
  data,
  response,
  rt,
  gaze,
  person,
  item,
  trait_label = "trait",
  process_label = "process",
  ...
)

Arguments

data: Input data frame or compatible tabular object.
response: Response variable or response-column name.
rt: Response-time variable or column name.
gaze: Gaze/process variable or column name.
person: Person or participant identifier column.
item: Item identifier, name, or item column.
trait_label: Value supplied to `trait_label`; see Details for its model-specific role.
process_label: Value supplied to `process_label`; see Details for its model-specific role.
...: Additional arguments passed to the selected model, engine, or method.