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FMAT: The Fill-Mask Association Test
The Fill-Mask Association Test ('FMAT')
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: |
2024.4 |
| Depends: |
R (≥ 4.0.0) |
| Imports: |
PsychWordVec, reticulate, data.table, stringr, forcats, psych, irr, glue, cli, purrr, plyr, dplyr, tidyr |
| Suggests: |
bruceR, text, nlme |
| Published: |
2024-04-29 |
| 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.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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