Package: sweater
Title: Speedy Word Embedding Association Test and Extras Using R
Version: 0.1.8
Authors@R: 
    person(given = "Chung-hong",
           family = "Chan",
           role = c("aut", "cre"),
           email = "chainsawtiney@gmail.com",
           comment = c(ORCID = "0000-0002-6232-7530"))
Description: Conduct various tests for evaluating implicit biases in word embeddings: Word Embedding Association Test (Caliskan et al., 2017), <doi:10.1126/science.aal4230>, Relative Norm Distance (Garg et al., 2018), <doi:10.1073/pnas.1720347115>, Mean Average Cosine Similarity (Mazini et al., 2019) <arXiv:1904.04047>, SemAxis (An et al., 2018) <arXiv:1806.05521>, Relative Negative Sentiment Bias (Sweeney & Najafian, 2019) <doi:10.18653/v1/P19-1162>, and Embedding Coherence Test (Dev & Phillips, 2019) <arXiv:1901.07656>.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.2.3
URL: https://github.com/gesistsa/sweater
BugReports: https://github.com/gesistsa/sweater/issues
LinkingTo: Rcpp
Imports: Rcpp, purrr, quanteda, LiblineaR, proxy, data.table, cli,
        combinat
Suggests: covr, testthat (>= 3.0.0)
Config/testthat/edition: 3
Depends: R (>= 3.5)
NeedsCompilation: yes
Packaged: 2023-11-07 15:44:00 UTC; chainsawriot
Author: Chung-hong Chan [aut, cre] (<https://orcid.org/0000-0002-6232-7530>)
Maintainer: Chung-hong Chan <chainsawtiney@gmail.com>
Repository: CRAN
Date/Publication: 2023-11-07 16:00:02 UTC
Built: R 4.6.0; x86_64-apple-darwin20; 2026-04-28 12:07:20 UTC; unix
Archs: sweater.so.dSYM
