Man pages for meow
Unified Framework for Computer Adaptive Testing Simulations
| 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... |
| edge_weight_inverse | Alternative edge weight functions for network-based item... |
| 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... |
| 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... |
| update_prowise_learn | Elo-style updates with paired item comparisons (Prowise... |
| update_theta_mle | Update person ability via maximum likelihood estimation. |
