Package index

Simulation Function

The core of any individual simulation.

meow()

Conducts a full CAT simulation.

Data Loaders

Load existing or simulate new data for use in a meow simulation.

data_existing()

Load data from existing files

data_simple_1pl()

A default data generation function that simulates normally distributed respondent abilities and item difficulties

Selection Functions

Included item selection algorithms.

select_max_dist()

Item selection function based on network distance criterion.

select_max_dist_enhanced()

Enhanced network-based item selection with configurable edge weights

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.

Parameter Update Functions

Included parameter update functions. Note that some only operate on person parameters, while others simultaneously update person and item parameters.

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

Utilities

Additional helper functions.

construct_adj_mat()

Constructs an item pool adjacency matrix.

edge_weight_inverse() edge_weight_negative_log() edge_weight_linear() edge_weight_power() edge_weight_exponential()

Alternative edge weight functions for network-based item selection