Simulate observed dynamic-state transitions — simulate_dynamic_irtree

Part of the research-scale validation, advanced-model, interoperability, storage, adapter, or reproducibility programme. Experimental model functions remain subject to declared evidence gates.

Usage

simulate_dynamic_irtree_data(n_person = 100L, n_item = 20L,
  transitions_per_trial = 8L, states = c("prompt", "evidence", "options"),
  beta_response = 0.5, person_sd = 0.4, item_sd = 0.3, irregular_time = TRUE,
  state_misclassification = 0, missing_state = 0, structural_zeros = NULL, seed = 1L)

Arguments

n_person: Number of persons and items.
n_item: Number of persons and items.
transitions_per_trial: Number of transitions per person-item trial.
states: State labels.
beta_response: Response effect on transitions.
person_sd: Person/item heterogeneity.
item_sd: Person/item heterogeneity.
irregular_time: Whether to generate irregular time gaps.
state_misclassification: Destination-state error probability.
missing_state: Missing destination-state probability.
structural_zeros: Optional forbidden transitions.
seed: Random seed.

Value

The documented eyeprocess object, data frame, plot, report path, or adapter result.