<?xml version="1.0" encoding="UTF-8"?>
<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:title>Large Language Model (LLM) Tools for Psychological Text Analysis</dc:title>
  <dc:title>R package LLMing version 1.2.1</dc:title>
  <dc:description>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) and a text generation method.
  &lt;doi:10.1016/j.ress.2015.05.025&gt;.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Imports: Rdpack, quanteda, stopwords, stringi, reticulate, text,
dbscan, pracma, stats, jsonlite, quanteda, stopwords, stringi,
utils, Matrix, text2vec</dc:relation>
  <dc:relation>Suggests: testthat (&gt;= 3.0.0)</dc:relation>
  <dc:creator>Lindley Slipetz &lt;ddj6tu@virginia.edu&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Lindley Slipetz [aut, cre],
  Teague Henry [aut],
  Siqi Sun [ctb]</dc:contributor>
  <dc:rights>MIT + file LICENSE (https://CRAN.R-project.org/package=LLMing/LICENSE)</dc:rights>
  <dc:date>2026-03-27</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=LLMing</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.LLMing</dc:identifier>
</oai_dc:dc>
