<?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>zwang2333.r-universe.dev</title><link>https://zwang2333.r-universe.dev</link><description>Recent package updates in zwang2333</description><generator>R-universe</generator><image><url>https://github.com/zwang2333.png</url><title>R packages by zwang2333</title><link>https://zwang2333.r-universe.dev</link></image><lastBuildDate>Wed, 05 Feb 2025 17:47:59 GMT</lastBuildDate><item><title>[thebrisklab] SparseICA 0.1.4</title><author>zhwang0378@gmail.com (Zihang Wang)</author><description>Provides an implementation of the Sparse ICA method in
Wang et al. (2024) &lt;doi:10.1080/01621459.2024.2370593&gt; for
estimating sparse independent source components of cortical
surface functional MRI data, by addressing a non-smooth,
non-convex optimization problem through the relax-and-split
framework. This method effectively balances statistical
independence and sparsity while maintaining computational
efficiency.</description><link>https://github.com/r-universe/thebrisklab/actions/runs/37193946349</link><pubDate>Wed, 05 Feb 2025 17:47:59 GMT</pubDate><r:package>SparseICA</r:package><r:version>0.1.4</r:version><r:status>success</r:status><r:repository>https://thebrisklab.r-universe.dev</r:repository><r:upstream>https://github.com/thebrisklab/sparseica</r:upstream></item></channel></rss>