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baserater: Base-Rate Item Evaluation and Typicality Scoring Using LargeLanguage Models

Download typicality rating datasets, generate new stereotype-based typicality ratings using large language models via the Inference Providers API (<https://huggingface.co/docs/inference-providers>), and evaluate them against human-annotated validation data. Also includes functions to extract stereotype strength and base-rate items from typicality matrices. For more details see Beucler et al. (2025) <doi:10.31234/osf.io/eqrfu_v1>.

Version:0.1.2
Depends:R (≥ 4.1.0)
Imports:cli,dplyr,glue,readr,tibble,tidyr,httr2
Suggests:devtools,knitr,rmarkdown,tidyverse
Published:2025-11-18
DOI:10.32614/CRAN.package.baserater
Author:Jeremie Beucler [aut, cre]
Maintainer:Jeremie Beucler <jeremie.beucler at gmail.com>
License:MIT + fileLICENSE
URL:https://jeremie-beucler.github.io/baserater/
NeedsCompilation:no
Citation:baserater citation info
Materials:README,NEWS
CRAN checks:baserater results

Documentation:

Reference manual:baserater.html ,baserater.pdf
Vignettes:Introduction to the 'baserater' package (source,R code)

Downloads:

Package source: baserater_0.1.2.tar.gz
Windows binaries: r-devel:baserater_0.1.2.zip, r-release:baserater_0.1.2.zip, r-oldrel:baserater_0.1.2.zip
macOS binaries: r-release (arm64):baserater_0.1.2.tgz, r-oldrel (arm64):baserater_0.1.2.tgz, r-release (x86_64):baserater_0.1.2.tgz, r-oldrel (x86_64):baserater_0.1.2.tgz
Old sources: baserater archive

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=baseraterto link to this page.


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