Changes in version 0.1.0 (2026-06-15)                  

  - Initial release.
  - Core sfa() function for semantic factor analysis.
  - Encoding methods: atomic_reversed, atomic, squid,
    mean_centered_pearson.
  - Embedding-adapted parallel analysis (sfa_parallel()).
  - Unified retention diagnostics (sfa_nfactors()).
  - Fit diagnostics: KMO, TEFI, RMSR, CAF, McDonald's omega, DAAL.
  - Comparison metrics: Tucker phi, NMI, ARI, Frobenius, disattenuated
    (sfa_congruence()).
  - Embedding backends: sentence-BERT, OpenAI, custom functions,
    precomputed.
  - Bundled IPIP Big Five 50-item dataset with sentence-BERT embeddings.