fit_mixture_irt_process_classes: Fit a true mirt mixture-IRT response model

In eyeprocess: Harmonize Eye-Tracking, Pupillometry, Biometrics, and Psychometric Process Data

Fit a true mirt mixture-IRT response model

Description

This is distinct from the existing two-stage process-class reference model: the response distribution itself is calibrated using mirt's mixture density. Process features may then be compared with the fitted response classes only when a defensible class-membership extraction is available.

Usage

fit_mixture_irt_process_classes(
  response_matrix,
  n_classes = 2L,
  model = 1,
  itemtype = "2PL",
  SE = FALSE
)

Arguments

response_matrix	Person x item response matrix.
n_classes	Number of mixture classes. The currently verified internal route supports two classes ('mixture-2').
model	mirt model specification, default one dimension.
itemtype	Item type.
SE	Request standard errors.

Value

An object of class "eye_mixture_irt_process", stored as a named list, with components "model", "coefficients", "n_classes", "itemtype", "status", "caveat". It contains a true mirt mixture-IRT response model and associated metadata or diagnostics needed to interpret the result.

eyeprocess documentation built on Sept. 28, 2026, 5:08 p.m.