<?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>gpiaser.r-universe.dev</title><link>https://gpiaser.r-universe.dev</link><description>Recent package updates in gpiaser</description><generator>R-universe</generator><image><url>https://github.com/gpiaser.png</url><title>R packages by gpiaser</title><link>https://gpiaser.r-universe.dev</link></image><lastBuildDate>Sun, 11 Jan 2026 19:14:07 GMT</lastBuildDate><item><title>[gpiaser] IPAG 0.1.0</title><author>piaser@gmail.com (Gwenaël Piaser)</author><description>Provides a collection of intuitive and user-friendly
functions for computing confidence intervals for common
statistical tasks, including means, differences in means,
proportions, and odds ratios. The package also includes tools
for linear regression analysis and several real-world datasets
intended for teaching and applied statistical inference.</description><link>https://github.com/r-universe/gpiaser/actions/runs/29479603106</link><pubDate>Sun, 11 Jan 2026 19:14:07 GMT</pubDate><r:package>IPAG</r:package><r:version>0.1.0</r:version><r:status>success</r:status><r:repository>https://gpiaser.r-universe.dev</r:repository><r:upstream>https://github.com/gpiaser/ipag</r:upstream><r:article><r:source>IPAG-beauty-vignette.Rmd</r:source><r:filename>IPAG-beauty-vignette.html</r:filename><r:title>Teaching Evaluation Analysis with IPAG</r:title><r:created>2026-01-11 19:14:07</r:created><r:modified>2026-01-11 19:14:07</r:modified></r:article></item></channel></rss>