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>.
| Version: |
0.1.5 |
| 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 |
| Published: |
2026-05-11 |
| DOI: |
10.32614/CRAN.package.warmthcompetence (may not be active yet) |
| Author: |
Bushra Guenoun 
[aut, cre],
Julian Zlatev
[aut],
Noah Greifer
[ctb] |
| Maintainer: |
Bushra Guenoun <bushraguenoun at gmail.com> |
| BugReports: |
https://github.com/bushraguenoun/warmthcompetence/issues |
| License: |
AGPL (≥ 3) |
| URL: |
https://github.com/bushraguenoun/warmthcompetence,
https://bushraguenoun.github.io/warmthcompetence/ |
| NeedsCompilation: |
no |
| Materials: |
README |
| CRAN checks: |
warmthcompetence results |