<?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>awhug.r-universe.dev</title><link>https://awhug.r-universe.dev</link><description>Recent package updates in awhug</description><generator>R-universe</generator><image><url>https://github.com/awhug.png</url><title>R packages by awhug</title><link>https://awhug.r-universe.dev</link></image><lastBuildDate>Sat, 18 Apr 2026 00:13:14 GMT</lastBuildDate><item><title>[awhug] glm4 0.1.0</title><author>angus-hughes+glm4@outlook.com (Angus Hughes)</author><description>Fits Generalised Linear Models (GLMs) with sparse and
dense 'Matrix' matrices for memory efficiency. Acts as a
wrapper for the glm4() function in the 'MatrixModels' package
&lt;doi:10.32614/CRAN.package.MatrixModels&gt;, but adds convenient
model methods and functions designed to mimic those associated
with the glm() function from the 'stats' package.</description><link>https://github.com/r-universe/awhug/actions/runs/39121045134</link><pubDate>Sat, 18 Apr 2026 00:13:14 GMT</pubDate><r:package>glm4</r:package><r:version>0.1.0</r:version><r:status>success</r:status><r:repository>https://awhug.r-universe.dev</r:repository><r:upstream>https://github.com/awhug/glm4</r:upstream><r:article><r:source>fitting-a-sparse-glm.Rmd</r:source><r:filename>fitting-a-sparse-glm.html</r:filename><r:title>Fitting a sparse GLM with glm4</r:title><r:created>2024-07-22 14:17:25</r:created><r:modified>2026-04-09 23:38:59</r:modified></r:article></item></channel></rss>