Cross-classified process IRT reference model — fit_crossclassified_process

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.