<?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>jlmarmanillo-jlms.r-universe.dev</title><link>https://jlmarmanillo-jlms.r-universe.dev</link><description>Recent package updates in jlmarmanillo-jlms</description><generator>R-universe</generator><image><url>https://github.com/jlmarmanillo-jlms.png</url><title>R packages by jlmarmanillo-jlms</title><link>https://jlmarmanillo-jlms.r-universe.dev</link></image><lastBuildDate>Wed, 23 Sep 2026 05:21:41 GMT</lastBuildDate><item><title>[jlmarmanillo-jlms] eduResearchR 0.1.0</title><author>jlmarmanillo@gmail.com (Jorge Luis Marmanillo Santana)</author><description>Curates a comprehensive and robust collection of 15
classic educational, economic, and social science datasets
meticulously tailored for empirical research, project-based
learning, and academic instruction in higher education. It
streamlines exploratory data analysis, business intelligence
modeling, regression techniques, and hypothesis testing by
providing ready-to-use data structures sourced from prominent
community packages (Kleiber and Zeileis (2008)
&lt;https://CRAN.R-project.org/package=AER&gt;; Fox and Weisberg
(2019) &lt;https://CRAN.R-project.org/package=carData&gt;).</description><link>https://github.com/r-universe/jlmarmanillo-jlms/actions/runs/37117534162</link><pubDate>Wed, 23 Sep 2026 05:21:41 GMT</pubDate><r:package>eduResearchR</r:package><r:version>0.1.0</r:version><r:status>success</r:status><r:repository>https://jlmarmanillo-jlms.r-universe.dev</r:repository><r:upstream>https://github.com/jlmarmanillo-jlms/eduresearchr</r:upstream><r:article><r:source>intro-eduResearchR.Rmd</r:source><r:filename>intro-eduResearchR.html</r:filename><r:title>intro-eduResearchR</r:title><r:created>2026-08-16 20:04:02</r:created><r:modified>2026-09-01 00:20:02</r:modified></r:article></item></channel></rss>