MacBehaviour: Behavioural Studies of Large Language Models

We provide an efficient way to design and conduct psycholinguistic experiments for testing the performance of large language models. It simplifies the process of setting up experiments, and data collection via large language models' API, streamlining workflow for researchers in the field of machine behavior. For methodology details, see Duan, X., Li, S., & Cai, Z. G. (2023) <doi:10.31234/osf.io/ywtfd>.

Version: 1.2.2
Depends: R (≥ 3.5.0), openxlsx, httr, rjson
Suggests: knitr, rmarkdown, roxygen2
Published: 2024-06-17
Author: Xufeng Duan [aut, cph], Shixuan Li [aut, cre], Zhenguang Cai [aut]
Maintainer: Shixuan Li <shixuanli at cuhk.edu.hk>
License: LGPL-3
NeedsCompilation: no
CRAN checks: MacBehaviour results

Documentation:

Reference manual: MacBehaviour.pdf

Downloads:

Package source: MacBehaviour_1.2.2.tar.gz
Windows binaries: r-devel: MacBehaviour_1.2.1.zip, r-release: MacBehaviour_1.2.1.zip, r-oldrel: MacBehaviour_1.2.1.zip
macOS binaries: r-release (arm64): MacBehaviour_1.2.2.tgz, r-oldrel (arm64): MacBehaviour_1.2.2.tgz, r-release (x86_64): MacBehaviour_1.2.2.tgz, r-oldrel (x86_64): MacBehaviour_1.2.2.tgz
Old sources: MacBehaviour archive

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