Man pages for semanticfa
Semantic Factor Analysis of Language Model Embeddings
| as_psych | Coerce to psych fa Object |
| big5 | IPIP Big Five 50-Item Inventory with Qwen3 Embeddings |
| plot.sfa_coverage | Plot a Content-Validity Audit |
| plot.sfa_coverage_battery | Plot One Factor of a Content-Validity Audit Battery |
| semanticfa-package | semanticfa: Semantic Factor Analysis of Language Model... |
| sfa | Semantic Factor Analysis |
| sfa_anchor | Construct-Label and Centroid Anchoring |
| sfa_build_bank | Pre-Embed a Set of Texts into a Reusable Bank |
| sfa_build_region | Build a Construct Region from a Text Corpus |
| sfa_build_regions | Build Many Construct Regions in One Corpus Pass |
| sfa_cd | Comparison-Data Misfit Profile |
| sfa_clear_cache | Clear Embedding Cache |
| sfa_combine_banks | Combine Embedding Lookups |
| sfa_congruence | Compare Semantic and Empirical Factor Structures |
| sfa_corplot | Heatmap of an Item-by-Item Similarity Matrix |
| sfa_coverage | Audit the Content Validity of a Scale Against a Construct... |
| sfa_cross_matrix | Extract the Numeric Matrix from a Cross-Audit |
| sfa_deletion_gaps | Newly Uncovered Content After an Item-Set Change |
| sfa_dimselect | Embedding-Dimension Selection by EGA Depth Optimization |
| sfa_ekc | Empirical Kaiser Criterion for Embedding Similarity Matrices |
| sfa_embed | Embed Item Text with a Language Model |
| sfa_embedding_bank | Use a Pre-Generated Embedding Bank as an Embedder |
| sfa_gaps | Gap Table from a Coverage Audit |
| sfa_install_python | Provision the Python Environment for Embedding |
| sfa_item_fit | Vet a Candidate Scale Item Before Data Collection |
| sfa_itemplot | 2-D Item Map (t-SNE, UMAP, PCA, or MDS) |
| sfa_jinglejangle | Detect Jingle and Jangle Fallacies Across Scales |
| sfa_leximax | Leximax: Rotate Factor Axes Toward the Construct Lexicon |
| sfa_lexmap | Build the Lexical Map for Leximax Rotation |
| sfa_load_npz | Load Pre-generated Embeddings from a NumPy .npz File |
| sfa_load_region | Load a Saved Construct Region |
| sfa_map | Velicer's Minimum Average Partial for Similarity Matrices |
| sfa_name | Name the Factors of an sfa Fit |
| sfa_nameability | Nameability of an Orientation |
| sfa_naming_instruction | The Default Naming Instruction |
| sfa_nfactors | Unified Factor Retention Diagnostics |
| sfa_nli_matrix | Signed Item Similarity from Natural Language Inference |
| sfa_parallel | Embedding-Adapted Parallel Analysis |
| sfa_pool | Fetch or Build the Candidate Pool for a Naming Model |
| sfa_project | Semantic Projection onto Bipolar Axes |
| sfa_redundancy | Detect Redundant (Near-Duplicate) Items |
| sfa_reembed_region | Re-Embed a Construct Region Under Another Encoder |
| sfa_region_bank | Use a Region's Own Stored Embeddings as an Embedder |
| sfa_semk | Calibrated Semantic Factor Retention (sem-k) |
| sfa_similarity | Compute Embedding Similarity Matrix |
| sfa_simplify | Response-Free Scale Simplification |
