| cor_matrix_custom | Calculate a correlation matrix. |
| descriptive_stats | Calculate basic descriptive statistics. |
| determine_n_factors | Determine the number of factors using Parallel Analysis. |
| efa_custom | Run an EFA with correlation and numerical diagnostics. |
| howard | Check the Howard loading criteria. |
| identify_problem_items | Identify low-loading and cross-loading items. |
| itemrest | Identify Candidate Item Sets for Exploratory Factor Analysis |
| itemrest_bootstrap | Bootstrap the Entire Threshold-Driven Candidate Search |
| itemrest_split | Split Observations into Discovery and Validation Samples |
| itemrest_validate | Reevaluate Prespecified Candidate Sets on Validation Data |
| print.itemrest_result | Print Candidate Solutions from ItemRest |
| test_removals | Iteratively evaluate removal strategies and retain failed... |
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