semanticfa 0.1.0

• 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.