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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: | 1.1.3 |
| Depends: | R (≥ 3.5.0), openxlsx, httr, dplyr, rjson |
| Suggests: | knitr, rmarkdown, roxygen2 |
| Published: | 2024-02-20 |
| 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 |
| Reference manual: | MacBehaviour.pdf |
| Package source: | MacBehaviour_1.1.3.tar.gz |
| Windows binaries: | r-devel: MacBehaviour_1.1.3.zip, r-release: MacBehaviour_1.1.3.zip, r-oldrel: MacBehaviour_1.1.3.zip |
| macOS binaries: | r-release (arm64): MacBehaviour_1.1.3.tgz, r-oldrel (arm64): MacBehaviour_1.1.3.tgz, r-release (x86_64): MacBehaviour_1.1.3.tgz, r-oldrel (x86_64): MacBehaviour_1.1.3.tgz |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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