Package: chatRater 1.0.0

Shiyang Zheng

chatRater: Rating Text Using Large Language Models

Generates ratings for textual stimuli using large language models. It allows users to evaluate idioms and similar texts by combining context, prompts, and stimulus inputs. The package supports both 'OpenAI' and 'DeepSeek' APIs by enabling users to switch models simply by specifying the model parameter. It implements methods for constructing the request payload and parsing numeric ratings from the model outputs.

Authors:Shiyang Zheng [aut, cre]

chatRater_1.0.0.tar.gz
chatRater_1.0.0.tar.gz(r-4.5-noble)chatRater_1.0.0.tar.gz(r-4.4-noble)
chatRater_1.0.0.tgz(r-4.4-emscripten)chatRater_1.0.0.tgz(r-4.3-emscripten)
chatRater.pdf |chatRater.html✨
chatRater/json (API)

# Install 'chatRater' in R:
install.packages('chatRater', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.70 score 2 exports 108 dependencies

Last updated 2 days agofrom:860be05a22. Checks:1 OK, 1 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 17 2025
R-4.5-linuxNOTEFeb 17 2025

Exports:generate_ratingsgenerate_ratings_for_all

Dependencies:askpassassertthatbackportsbase64encbitbit64blobbroombslibcachemcallrcellrangerclicliprcolorspaceconflictedcpp11crayoncurldata.tableDBIdbplyrdigestdplyrdtplyrevaluatefansifarverfastmapfontawesomeforcatsfsgarglegenericsggplot2gluegoogledrivegooglesheets4gtablehavenhighrhmshtmltoolshttridsisobandjquerylibjsonliteknitrlabelinglatticelifecyclelubridatemagrittrMASSMatrixmemoisemgcvmimemodelrmunsellnlmeopenaiopensslpillarpkgconfigprettyunitsprocessxprogresspspurrrR6raggrappdirsRColorBrewerreadrreadxlrematchrematch2reprexrlangrmarkdownrstudioapirvestsassscalesselectrstringistringrsyssystemfontstextshapingtibbletidyrtidyselecttidyversetimechangetinytextzdbutf8uuidvctrsviridisLitevroomwithrxfunxml2yaml