Word Embedding Research Framework for Psychological Science R package PsychWordVec version 2025.11 An integrative toolbox of word embedding research that provides: (1) a collection of 'pre-trained' static word vectors in the '.RData' compressed format <https://psychbruce.github.io/WordVector_RData.pdf>; (2) a group of functions to process, analyze, and visualize word vectors; (3) a range of tests to examine conceptual associations, including the Word Embedding Association Test <doi:10.1126/science.aal4230> and the Relative Norm Distance <doi:10.1073/pnas.1720347115>, with permutation test of significance; and (4) a set of training methods to locally train (static) word vectors from text corpora, including 'Word2Vec' <doi:10.48550/arXiv.1301.3781>, 'GloVe' <doi:10.3115/v1/D14-1162>, and 'FastText' <doi:10.48550/arXiv.1607.04606>. Software Depends: R (>= 4.0.0) Imports: bruceR, dplyr, stringr, data.table, purrr, vroom, cli, ggplot2, ggrepel, corrplot, psych, Rtsne, rgl, qgraph Suggests: text, text2vec, word2vec, rsparse, fastTextR, wordsalad, sweater, glue Han Wu Shuang Bao <baohws@foxmail.com> Comprehensive R Archive Network (CRAN) Han Wu Shuang Bao [aut, cre] (ORCID: <https://orcid.org/0000-0003-3043-710X>) GPL-3 2025-11-30 application/tgz https://CRAN.R-project.org/package=PsychWordVec doi:10.32614/CRAN.package.PsychWordVec