Large Language Model (LLM) Tools for Psychological Text Analysis [R package LLMing version 1.0.0]

LLMing: Large Language Model (LLM) Tools for Psychological Text Analysis

A collection of large language model (LLM) text analysis methods designed with psychological data in mind. Currently, LLMing (aka "lemming") includes a text anomaly detection method based on the angle-based subspace approach described by Zhang, Lin, and Karim (2015) <doi:10.1016/j.ress.2015年05月02日5>.

Version: 1.0.0

Depends: R (≥ 4.1.0)

Imports: Rdpack, quanteda, stopwords, stringi, reticulate, text, dbscan, pracma, stats

Published: 2025年10月21日

DOI: 10.32614/CRAN.package.LLMing

Author: Lindley Slipetz [aut, cre], Teague Henry [aut], Siqi Sun [ctb]

Maintainer: Lindley Slipetz <ddj6tu at virginia.edu>

BugReports: https://github.com/sliplr19/LLMing/issues

License: MIT + file LICENSE

URL: https://github.com/sliplr19/LLMing

NeedsCompilation: no

Materials: README, NEWS

CRAN checks: LLMing results

Documentation:

Reference manual: LLMing.html , LLMing.pdf

Downloads:

Package source: LLMing_1.0.0.tar.gz

Windows binaries: r-devel: LLMing_1.0.0.zip, r-release: LLMing_1.0.0.zip, r-oldrel: LLMing_1.0.0.zip

macOS binaries: r-release (arm64): LLMing_1.0.0.tgz, r-oldrel (arm64): LLMing_1.0.0.tgz, r-release (x86_64): LLMing_1.0.0.tgz, r-oldrel (x86_64): LLMing_1.0.0.tgz

Linking:

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