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gptzeror: Identify Text Written by Large Language Models using 'GPTZero'

An R interface to the 'GPTZero' API (<https://gptzero.me/docs>). Allows users to classify text into human and computer written with probabilities. Formats the data into data frames where each sentence is an observation. Paragraph-level and document-level predictions are organized to align with the sentences.

Version:0.0.2
Depends:R (≥ 4.1.0)
Imports:cli,curl,dplyr,httr2,lifecycle,tidyr
Suggests:httptest2,testthat (≥ 3.0.0)
Published:2025-09-05
DOI:10.32614/CRAN.package.gptzeror
Author:Christopher T. KennyORCID iD [aut, cre]
Maintainer:Christopher T. Kenny <ctkenny at proton.me>
BugReports:https://github.com/christopherkenny/gptzeror/issues
License:MIT + fileLICENSE
URL:https://github.com/christopherkenny/gptzeror,https://christophertkenny.com/gptzeror/
NeedsCompilation:no
Materials:README,NEWS
CRAN checks:gptzeror results

Documentation:

Reference manual:gptzeror.html ,gptzeror.pdf

Downloads:

Package source: gptzeror_0.0.2.tar.gz
Windows binaries: r-devel:gptzeror_0.0.2.zip, r-release:gptzeror_0.0.2.zip, r-oldrel:gptzeror_0.0.2.zip
macOS binaries: r-release (arm64):gptzeror_0.0.2.tgz, r-oldrel (arm64):gptzeror_0.0.2.tgz, r-release (x86_64):gptzeror_0.0.2.tgz, r-oldrel (x86_64):gptzeror_0.0.2.tgz
Old sources: gptzeror archive

Linking:

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


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