as_psych                Coerce to psych fa Object
big5                    IPIP Big Five 50-Item Inventory with
                        Sentence-BERT Embeddings
semanticfa-package      semanticfa: Semantic Factor Analysis of
                        Language Model Embeddings
sfa                     Semantic Factor Analysis
sfa_anchor              Construct-Label and Centroid Anchoring
sfa_clear_cache         Clear Embedding Cache
sfa_congruence          Compare Semantic and Empirical Factor
                        Structures
sfa_corplot             Heatmap of an Item-by-Item Similarity Matrix
sfa_dimselect           Embedding-Dimension Selection by EGA Depth
                        Optimization
sfa_embed               Embed Item Text with a Language Model
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_load_npz            Load Pre-generated Embeddings from a NumPy .npz
                        File
sfa_nfactors            Unified Factor Retention Diagnostics
sfa_nli_matrix          Signed Item Similarity from Natural Language
                        Inference
sfa_parallel            Embedding-Adapted Parallel Analysis
sfa_project             Semantic Projection onto Bipolar Axes
sfa_redundancy          Detect Redundant (Near-Duplicate) Items
sfa_similarity          Compute Embedding Similarity Matrix
sfa_simplify            Response-Free Scale Simplification
