| cfa_auto | Automated CFA with psychometric reporting |
| compare_models_auto | Compare alternative CFA models |
| cormat | Inter-item correlation matrix |
| desc_auto | Automated descriptives for psychometric items |
| dif_auto | Screen differential item functioning by group |
| efa_auto | Automated exploratory factor analysis |
| esem_auto | Exploratory structural equation measurement model with transparent rotation |
| export_cfa | Export CFA results to Excel or Word |
| export_efa | Export EFA results to Excel or Word |
| factorial_invariance_auto | Automated complete measurement invariance |
| invariance_partial | Fit researcher-directed partial measurement invariance |
| inv_align_auto | Automated alignment invariance |
| irt_auto | Fit basic IRT models automatically |
| network_auto | Automated exploratory psychometric network analysis |
| network_plots | Export publication figures from cached network results |
| ordinal_invariance_auto | Automated ordinal measurement invariance |
| plot.psychomatic_network | Plot cached psychometric network results |
| print.psychomatic_network | Print a psychometric network result |
| psychomatic_report | Create an integrated PsychoMatic report |
| psychomatic_spec | Define a psychometric data specification |
| reliability_auto | Automated reliability analysis |
| reverse_items | Reverse-score selected items |
| score_scale | Score one or more psychometric scales |
| screen_items | Screen item-level data quality |