Man pages for Karel-Kroeze/ShadowCAT
Multidimensional Computer Adaptive Testing with the Shadow Testing Procedure
| as.scalar2 | Return as a scalar |
| categorical_to_dummy | Transform categorical vector into dummy variables |
| characteristics_correct_format | Check class and number of rows of characteristics |
| constraints_correct_names | Check names in constraints |
| constraints_correct_operators | Check operator in constraints |
| constraints_correct_structure | Check structure of constraints |
| constraints_correct_targets | Check target in constraints |
| constraints_lp_format | Format characteristics and constraints |
| estimate_latent_trait | Latent trait estimation |
| get_best_item | Find best item |
| get_eap_estimate_riemannsum | EAP estimate with Riemannsum |
| get_fisher_information | Fisher Information |
| get_item_index_max_information | Item index maximum information |
| get_item_index_max_information_constrained | Shadow Test item selection |
| get_next_item | Index next item |
| get_posterior_expected_kl_information | Posterior expected Kullback-Leibler Information |
| get_probs_and_likelihoods_per_item | Probabilities and likelihoods |
| get_subset | Get subset based on indices |
| get_summarized_information | Summarize Fisher Information |
| grapes-not_in-grapes | Not in |
| lapply_return_array | Lapply with array output |
| likelihood_or_post_density | Likelihood or posterior density |
| matrix_apply | Matrix apply |
| move_values_to_means | Move values towards means |
| na_only_end_rows | Check 'NA' pattern in matrix |
| na_only_end_vector | Check 'NA' pattern in vector |
| no_missing_information | Check both 'NULL' or not 'NULL' |
| number_non_missing_cells_per_row | Count non-'NA' per row |
| remove_rows_outside_bounds | Remove rows outside bounds |
| row_cumsum | Cumulative row sums |
| row_names_are_equal | Check row names |
| row_or_vector_sums | Row sum or vector sum |
| rsapply | Recursive list apply |
| shadowcat | Get new item key and update estimate |
| ShadowCAT-package | Package for computerized adaptive testing |
| simulate_answer | Simulate answer |
| simulate_testbank | Simulate alpha and beta |
| sum_loop_outputs | Sum loop outputs |
| terminate_test | Terminate test |
| test_shadowcat | Simulate a testing routine with shadowcat |
| validate_and_run | Validate and run |
| validate_and_run.test | Get result function |
