R/shadow_class.R
output_Shadow-class.Rd
output_Shadow
is an S4 class for representing the adaptive assembly solution for one simulee.
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.