Warmth and Competence Detectors R package warmthcompetence version 0.1.5 Detects perceptions of warmth and competence in American English self-presentation language. Using trained elastic net regression models, this package provides a numerical representation of warmth and competence perceptions. Methods are described here:<https://github.com/bushraguenoun/warmthcompetence/tree/master/paper>. Software Depends: R (>= 4.1.0) Imports: spacyr, caret, dplyr (>= 1.2.0), lexicon, ngram, qdap, politeness, qdapDictionaries, quanteda (>= 4.0.2), sentimentr, stats, tidyr, tidytext, tm, quanteda.textstats Suggests: rmarkdown, knitr Bushra Guenoun <bushraguenoun@gmail.com> Comprehensive R Archive Network (CRAN) Bushra Guenoun [aut, cre] (ORCID: <https://orcid.org/0000-0003-0975-1620>), Julian Zlatev [aut] (ORCID: <https://orcid.org/0000-0002-9427-9887>), Noah Greifer [ctb] (ORCID: <https://orcid.org/0000-0003-3067-7154>) AGPL (>= 3) 2026-05-11 application/tgz https://CRAN.R-project.org/package=warmthcompetence doi:10.32614/CRAN.package.warmthcompetence