Audit a candidate item bank against a seed model
Usage
audit_candidate_item_bank(
object,
candidate_data,
difficulty_range = c(-3, 3),
discrimination_min = 0.3
)
Arguments
- object
Seed model.
- candidate_data
Candidate item feature data.
- difficulty_range
Plausible screening range for predicted difficulty.
- discrimination_min
Minimum screening discrimination.
Value
An object of class "eye_candidate_item_bank_audit", stored as a named list, with components "table", "seed_model", "status", "caveat". It contains a candidate item bank against a seed model and associated metadata or diagnostics needed to interpret the result.