The Fill-Mask Association Test ('FMAT') <doi:10.1037/pspa0000396> is an integrative and probability-based method using Masked Language Models to measure conceptual associations (e.g., attitudes, biases, stereotypes, social norms, cultural values) as propositions in natural language. Supported language models include 'BERT' <doi:10.48550/arXiv.1810.04805> and its variants available at 'Hugging Face' <https://huggingface.co/models?pipeline_tag=fill-mask>. Methodological references and installation guidance are provided at <https://psychbruce.github.io/FMAT/>.
Version: 2025.4 Depends: R (≥ 4.0.0) Imports: reticulate, data.table, stringr, forcats, rvest, psych, irr, glue, crayon, cli, purrr, plyr, dplyr, tidyr Suggests: bruceR, PsychWordVec, text, sweater, nlme Published: 2025-04-08 DOI: 10.32614/CRAN.package.FMAT Author: Han-Wu-Shuang Bao [aut, cre] Maintainer: Han-Wu-Shuang Bao <baohws at foxmail.com> BugReports: https://github.com/psychbruce/FMAT/issues License: GPL-3 URL: https://psychbruce.github.io/FMAT/ NeedsCompilation: no SystemRequirements: Python (>= 3.9.0) Materials: README NEWS CRAN checks: FMAT results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=FMAT to link to this page.
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