<?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>xunjian-li.r-universe.dev</title><link>https://xunjian-li.r-universe.dev</link><description>Recent package updates in xunjian-li</description><generator>R-universe</generator><image><url>https://github.com/xunjian-li.png</url><title>R packages by xunjian-li</title><link>https://xunjian-li.r-universe.dev</link></image><lastBuildDate>Sun, 18 Oct 2026 02:18:04 GMT</lastBuildDate><item><title>[xunjian-li] SpectralMM 0.2.0</title><author>xunjianli@ucla.edu (Xun-Jian Li)</author><description>Fits generalized linear, asymmetric and robust regression
models using spectral majorization and iterative quadratic
subproblem solvers. A shared C++ computational core supports
dense and sparse designs, automatic intercepts, optional Wald
inference and detailed iteration diagnostics. Native code is
compiled automatically during package installation.</description><link>https://github.com/r-universe/xunjian-li/actions/runs/39103180459</link><pubDate>Sun, 18 Oct 2026 02:18:04 GMT</pubDate><r:package>SpectralMM</r:package><r:version>0.2.0</r:version><r:status>success</r:status><r:repository>https://xunjian-li.r-universe.dev</r:repository><r:upstream>https://github.com/xunjian-li/spectralmm</r:upstream></item></channel></rss>