construct_adj_mat       Construct an item-pool adjacency matrix.
data_existing           Load data from existing files
data_simple_1pl         A default data generation function that
                        simulates normally distributed respondent
                        abilities and item difficulties
edge_weight_inverse     Alternative edge weight functions for
                        network-based item selection
meow                    Conduct a full CAT simulation.
meow_administered       Logical mask of administered items.
meow_long               Convert the matrix simulation state to a long
                        data frame of responses.
select_max_dist         Item selection by network distance criterion.
select_max_dist_enhanced
                        Network-based item selection with configurable
                        edge weights.
select_max_info         Item selection by maximum Fisher information.
select_random           Item selection by random draw from the
                        remaining item bank.
select_restrict_rate    Maximum-information item selection with an
                        exposure-rate cap.
select_sequential       Item selection by item id, simulating a fixed
                        test form.
update_maths_garden     Elo-style updates of person and item parameters
                        (Maths Garden).
update_prowise_learn    Elo-style updates with paired item comparisons
                        (Prowise Learn).
update_theta_mle        Update person ability via maximum likelihood
                        estimation.
