FMAT: The Fill-Mask Association Test
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/>.
| Version: |
2026.1 |
| 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: |
2026-01-12 |
| 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:
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