MacBehaviour: Behavioural Studies of Large Language Models

Efficient way to design and conduct psychological experiments for testing the performance of large language models. It simplifies the process of setting up experiments and data collection via language models’ API, facilitating a smooth workflow for researchers in the field of machine behaviour.

Version: 1.2.7
Depends: R (≥ 3.5.0), openxlsx, httr, dplyr, rjson
Suggests: knitr, rmarkdown, roxygen2
Published: 2024-09-06
DOI: 10.32614/CRAN.package.MacBehaviour
Author: Xufeng Duan [aut, cre], Shixuan Li [aut], Zhenguang Cai [aut]
Maintainer: Xufeng Duan <dxfdxfdxf88 at gmail.com>
License: LGPL-3
NeedsCompilation: no
Materials: README NEWS
CRAN checks: MacBehaviour results

Documentation:

Reference manual: MacBehaviour.pdf

Downloads:

Package source: MacBehaviour_1.2.7.tar.gz
Windows binaries: r-devel: MacBehaviour_1.2.7.zip, r-release: MacBehaviour_1.2.7.zip, r-oldrel: MacBehaviour_1.2.7.zip
macOS binaries: r-release (arm64): MacBehaviour_1.2.7.tgz, r-oldrel (arm64): MacBehaviour_1.2.7.tgz, r-release (x86_64): MacBehaviour_1.2.7.tgz, r-oldrel (x86_64): MacBehaviour_1.2.7.tgz
Old sources: MacBehaviour archive

Linking:

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