<?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>saundersg.r-universe.dev</title><link>https://saundersg.r-universe.dev</link><description>Recent package updates in saundersg</description><generator>R-universe</generator><image><url>https://github.com/saundersg.png</url><title>R packages by saundersg</title><link>https://saundersg.r-universe.dev</link></image><lastBuildDate>Fri, 23 Oct 2026 02:25:08 GMT</lastBuildDate><item><title>[saundersg] Applr 1.0.0</title><author>jamesbeeson01@gmail.com (James Beeson)</author><description>Tools for visualizing and explaining linear models fit
with lm(). Draws 2D slices of higher-dimensional models in base
graphics and as a 'ggplot2' layer, offers an interactive
'plotly' 3D scatter with a fitted surface for two-predictor
models, and renders model equations as plain text or 'LaTeX'.</description><link>https://github.com/r-universe/saundersg/actions/runs/39935656818</link><pubDate>Fri, 23 Oct 2026 02:25:08 GMT</pubDate><r:package>Applr</r:package><r:version>1.0.0</r:version><r:status>success</r:status><r:repository>https://saundersg.r-universe.dev</r:repository><r:upstream>https://github.com/saundersg/applr</r:upstream><r:article><r:source>Applr.Rmd</r:source><r:filename>Applr.html</r:filename><r:title>Getting started with Applr</r:title><r:created>2026-09-17 19:51:05</r:created><r:modified>2026-10-13 22:53:18</r:modified></r:article></item></channel></rss>