Speedy Word Embedding Association Test and Extras Using R R package sweater version 0.1.8 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>. Software Depends: R (>= 3.5) Imports: Rcpp, purrr, quanteda, LiblineaR, proxy, data.table, cli, combinat LinkingTo: Rcpp Suggests: covr, testthat (>= 3.0.0) Chung-hong Chan <chainsawtiney@gmail.com> Comprehensive R Archive Network (CRAN) Chung-hong Chan [aut, cre] (ORCID: <https://orcid.org/0000-0002-6232-7530>) GPL (>= 3) 2023-11-07 application/tgz https://CRAN.R-project.org/package=sweater doi:10.32614/CRAN.package.sweater