<?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>roobnloo.r-universe.dev</title><link>https://roobnloo.r-universe.dev</link><description>Recent package updates in roobnloo</description><generator>R-universe</generator><image><url>https://github.com/roobnloo.png</url><title>R packages by roobnloo</title><link>https://roobnloo.r-universe.dev</link></image><lastBuildDate>Mon, 31 Aug 2026 22:57:21 GMT</lastBuildDate><item><title>[roobnloo] sglssnal 0.1.0</title><author>robin28liu@gmail.com (Robin Liu)</author><description>Implements the sparse-group lasso method of Zhang et al.
(2020) &lt;doi:10.1007/s10107-018-1329-6&gt;. Unlike many widely
available methods based on first-order descent, this method
uses second-order information to solve the dual optimization
problem via a semismooth Newton method.</description><link>https://github.com/r-universe/roobnloo/actions/runs/38234430179</link><pubDate>Mon, 31 Aug 2026 22:57:21 GMT</pubDate><r:package>sglssnal</r:package><r:version>0.1.0</r:version><r:status>success</r:status><r:repository>https://roobnloo.r-universe.dev</r:repository><r:upstream>https://github.com/roobnloo/sglssnal</r:upstream><r:article><r:source>sglssnal.Rmd</r:source><r:filename>sglssnal.html</r:filename><r:title>Introduction to sglssnal</r:title><r:created>2026-08-31 00:38:13</r:created><r:modified>2026-08-31 22:43:58</r:modified></r:article></item></channel></rss>