fit_crossclassified_process_irt: Cross-classified process IRT reference model

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

Cross-classified process IRT reference model

Description

Treats the process outcome as repeated evidence crossed by person and item, with optional contextual grouping factors. This is useful when process events themselves, not only item summaries, are the observations.

Usage

fit_crossclassified_process_irt(
  data,
  outcome,
  person = "participant_id",
  item = "item_id",
  context = NULL,
  family = c("gaussian", "binomial", "poisson", "negative_binomial"),
  fixed = NULL
)

Arguments

data	Input data frame or compatible tabular object.
outcome	Outcome variable.
person	Person or participant identifier column.
item	Item identifier, name, or item column.
context	Context or grouping variable.
family	Statistical family used by the channel or model.
fixed	Fixed-effects specification.

Value

An object of class "eye_crossclassified_process_irt", stored as a named list, with components "model", "family", "person", "item", "context", "status". It contains cross-classified process IRT reference model and associated metadata or diagnostics needed to interpret the result.

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