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All functions

construct_adj_mat()
Constructs 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
meow()
Conducts a full CAT simulation.
select_max_dist()
Item selection function based on network distance criterion.
select_max_info()
Item selection function that delivers the the remaining item with the highest information.
select_random()
Item selection function that delivers an item an item drawn at random from the item bank to each respondent.
select_sequential()
Item selection function that delivers the next item by item id number, simulating a fixed test form.
update_maths_garden()
Elo-style updates of person and item parameters
update_prowise_learn()
Elo-style updates of person and item parameters
update_theta_mle()
Updated person parameters based on MLE estimates