Class 'output_Shadow': adaptive assembly solution for one simulee
output_Shadow is an S4 class for representing the adaptive assembly solution for one simulee.
class
simulee_id: the numeric ID of the simulee.true_theta: the true theta of the simulee, if was specified.true_theta_segment: the segment number of the true theta.final_theta_est: final theta estimate.final_se_est: the standard error of final_theta_est.administered_item_index: item IDs administered at each position.administered_item_resp: item responses from the simulee at each position.administered_item_ncat: the number of categories of each administered item.administered_stimulus_index: stimulus IDs administered at each position.shadow_test_refreshed: TRUE indicates the shadowtest was refreshed for the position.shadow_test_feasible: TRUE indicates the MIP was feasible with all constraints.solve_time: elapsed time in running the solver at each position.initial_theta_est: initial theta estimate.interim_theta_est: interim theta estimates at each position.interim_se_est: the standard error of the interim estimate at each position.theta_segment_index: segment numbers of interim theta estimates.prior: prior distribution, if was specified.prior_par: prior parameters, if were specified.posterior: the posterior distribution after completing test.posterior_sample: posterior samples of interim theta before the estimation of final theta. mean(posterior_sample) == interim_theta_est[test_length] holds.likelihood: the likelihood distribution after completing test.shadow_test: the list containing the item IDs within the shadowtest used in each position.max_cat_pool: the maximum number of response categories the item pool had.ni_pool: the total number of items the item pool had.ns_pool: the total number of stimuli the item pool had.test_length_constraints: the test length constraint used in assembly.set_based: whether the item pool was set-based.item_index_by_stimulus: the list of items by each stimulus the item pool had.