The Fill-Mask Association Test R package FMAT version 2026.1 The Fill-Mask Association Test ('FMAT') <doi:10.1037/pspa0000396> is an integrative, probability-based social computing method using Masked Language Models to measure conceptual associations (e.g., attitudes, biases, stereotypes, social norms, cultural values) as propositional semantic representations 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/>. Software 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 Han Wu Shuang Bao <baohws@foxmail.com> Comprehensive R Archive Network (CRAN) Han Wu Shuang Bao [aut, cre] (ORCID: <https://orcid.org/0000-0003-3043-710X>) GPL-3 2026-01-12 application/tgz https://CRAN.R-project.org/package=FMAT doi:10.32614/CRAN.package.FMAT