semanticfa: Semantic Factor Analysis of Language Model Embeddings

Performs exploratory factor analysis on language model embeddings of psychological scale items. Embeds item text with sentence transformers or other language models, transforms the embeddings into item-by-item similarity matrices, and extracts latent factor structure via standard exploratory factor analysis. Supports embedding-adapted parallel analysis, several similarity transforms (atomic reversed, SQuID centering, mean-centered Pearson), and fit diagnostics tailored to embedding matrices (TEFI, RMSR, CAF, McDonald's omega). The underlying methods are documented with full citations in the corresponding function help pages. Returns objects compatible with 'psych' and 'EFAtools' workflows.

Version:	0.1.0
Depends:	R (≥ 4.1.0)
Imports:	GPArotation, grDevices, graphics, psych, reticulate (≥ 1.41.0), Rtsne, stats, utils, uwot, withr
Suggests:	digest, EFAtools, EGAnet, httr2, knitr, rmarkdown, testthat (≥ 3.0.0)
Published:	2026-06-15
DOI:	10.32614/CRAN.package.semanticfa
Author:	Devon Yanitski [aut, cre], Chris Westbury [aut]
Maintainer:	Devon Yanitski <dyanitsk at ualberta.ca>
BugReports:	https://github.com/devon7y/semanticfa/issues
License:	GPL (≥ 3)
URL:	https://github.com/devon7y/semanticfa
NeedsCompilation:	no
Citation:	semanticfa citation info
Materials:	README, NEWS
CRAN checks:	semanticfa results

Documentation:

Reference manual:	semanticfa.html , semanticfa.pdf
Vignettes:	Getting Started with semanticfa (source, R code)

Downloads:

Package source:	semanticfa_0.1.0.tar.gz
Windows binaries:	r-devel: semanticfa_0.1.0.zip, r-release: semanticfa_0.1.0.zip, r-oldrel: semanticfa_0.1.0.zip
macOS binaries:	r-release (arm64): semanticfa_0.1.0.tgz, r-oldrel (arm64): semanticfa_0.1.0.tgz, r-release (x86_64): semanticfa_0.1.0.tgz, r-oldrel (x86_64): semanticfa_0.1.0.tgz

Linking:

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