<?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>bartonessel.r-universe.dev</title><link>https://bartonessel.r-universe.dev</link><description>Recent package updates in bartonessel</description><generator>R-universe</generator><image><url>https://github.com/bartonessel.png</url><title>R packages by bartonessel</title><link>https://bartonessel.r-universe.dev</link></image><lastBuildDate>Sat, 31 Oct 2026 20:14:42 GMT</lastBuildDate><item><title>[bartonessel] pathlab 0.17.16</title><author>bartoness.knust.fes.eist@gmail.com (Harry Barton Essel)</author><description>PathLab SEM runs on your own computer and opens in your
web browser, in the way 'bibliometrix::biblioshiny()' does. You
draw a path model on a canvas and estimate it with 'seminr'
(PLS-SEM), 'lavaan' (CB-SEM) or 'cSEM' (GSCA). The app also
offers statistics with the 'jmv' engine, qualitative
comparative analysis, latent profile and class analysis,
machine learning, bibliometrics, and text and qualitative data
analysis. Your data never leave your computer: start the app
with run().</description><link>https://github.com/r-universe/bartonessel/actions/runs/41240919854</link><pubDate>Sat, 31 Oct 2026 20:14:42 GMT</pubDate><r:package>pathlab</r:package><r:version>0.17.16</r:version><r:status>success</r:status><r:repository>https://bartonessel.r-universe.dev</r:repository><r:upstream>https://github.com/bartonessel/pathlab</r:upstream></item></channel></rss>