Package: FMAT
Title: The Fill-Mask Association Test
Version: 2026.1
Date: 2026-01-01
Authors@R: 
    c(person(given = "Han Wu Shuang",
             family = "Bao",
             role = c("aut", "cre"),
             email = "baohws@foxmail.com",
             comment = c(ORCID = "0000-0003-3043-710X")))
Maintainer: Han Wu Shuang Bao <baohws@foxmail.com>
Description: 
    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/>.
License: GPL-3
Encoding: UTF-8
URL: https://psychbruce.github.io/FMAT/
BugReports: https://github.com/psychbruce/FMAT/issues
SystemRequirements: Python (>= 3.9.0)
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
RoxygenNote: 7.3.3
NeedsCompilation: no
Packaged: 2026-01-12 01:46:29 UTC; baohw
Author: Han Wu Shuang Bao [aut, cre] (ORCID:
    <https://orcid.org/0000-0003-3043-710X>)
Repository: CRAN
Date/Publication: 2026-01-12 05:50:02 UTC
Built: R 4.6.0; ; 2026-04-26 18:21:26 UTC; unix
