Estimate the parameters of the Interaction model and the Rasch model
fit_inter(dataSrc, predicate = NULL)
a connection to a dexter database, a matrix, or a data.frame with columns: person_id, item_id, item_score
An optional expression to subset data, if NULL all data is used
Unlike the Rasch model, the interaction model cannot be computed concurrently for a whole design of test forms. This function therefore fits the Rasch model and the interaction model on complete data. This typically consist of responses to items in one booklet but can also consist of the intersection (common items) in two or more booklets. If the intersection is empty (no common items for all persons), the function will exit with an error message.
An object of class
rim holding results
for the Rasch model and the interaction model.
db = start_new_project(verbAggrRules, ":memory:") add_booklet(db, verbAggrData, "agg") m = fit_inter(db, booklet_id=='agg') plot(m, "S1DoScold", show.observed=TRUE) close_project(db)
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