Interpreting Latent Variables with AI
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Documentation for package ‘NaileR’ version 1.2.2
Help Pages
| agri_studies | Agribusiness studies survey |
| atomic_habit | Atomic habits survey |
| atomic_habit_clust | Atomic habits survey |
| beard | Beard descriptions |
| beard_cont | Beard descriptions |
| beard_wide | Beard descriptions |
| boss | Ideal boss survey |
| car_alone | Atomic habits survey |
| dist_mat_llm | LLM distance matrix |
| dist_ref_llm | LLM response consistency |
| fabric | Car seat fabrics |
| glossophobia | Glossophobia survey |
| local_food | Local food systems survey |
| nail_catdes | Interpret a categorical latent variable |
| nail_condes | Interpret a continuous latent variable |
| nail_descfreq | Interpret the rows of a contingency table |
| nail_qda | Interpret QDA data |
| nail_sort | Sort textual data |
| nail_textual | Interpret a group based on answers to open-ended questions |
| nutriscore | Nutri-score survey |
| quality | Perception of food quality |
| rorschach | Rorschach inkblots |
| sim_llm | LLM text similarity |
| waste | Food waste survey |