<?xml version="1.0" encoding="utf-8" ?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:r="https://r-universe.dev"><channel><title>sliplr19.r-universe.dev</title><link>https://sliplr19.r-universe.dev</link><description>Recent package updates in sliplr19</description><generator>R-universe</generator><image><url>https://github.com/sliplr19.png</url><title>R packages by sliplr19</title><link>https://sliplr19.r-universe.dev</link></image><lastBuildDate>Thu, 26 Mar 2026 17:32:48 GMT</lastBuildDate><item><title>[sliplr19] LLMing 1.2.1</title><author>ddj6tu@virginia.edu (Lindley Slipetz)</author><description>A collection of large language model (LLM) text analysis
methods designed with psychological data in mind. Currently,
LLMing (aka &quot;lemming&quot;) 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;.</description><link>https://github.com/r-universe/sliplr19/actions/runs/26388024367</link><pubDate>Thu, 26 Mar 2026 17:32:48 GMT</pubDate><r:package>LLMing</r:package><r:version>1.2.1</r:version><r:status>success</r:status><r:repository>https://sliplr19.r-universe.dev</r:repository><r:upstream>https://github.com/sliplr19/llming</r:upstream></item></channel></rss>