<?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>rruihan-zhang.r-universe.dev</title><link>https://rruihan-zhang.r-universe.dev</link><description>Recent package updates in rruihan-zhang</description><generator>R-universe</generator><image><url>https://github.com/rruihan-zhang.png</url><title>R packages by rruihan-zhang</title><link>https://rruihan-zhang.r-universe.dev</link></image><lastBuildDate>Thu, 07 May 2026 03:33:57 GMT</lastBuildDate><item><title>[rruihan-zhang] MultiEFM 0.1.2</title><author>ruihanzhang6166@gmail.com (Ruihan Zhang)</author><description>We introduce a high-dimensional multi-study elliptical
factor model (MultiEFM), which learns latent features and
accounts for the heterogeneity among sources. It provides
robust estimation for heterogeneous high-dimensional data
analysis, particularly suitable for multi-study RNA sequencing
data and spatial multi-omics. The package implements efficient
algorithms for model configuration, identifiability conditions,
and parameter estimation.</description><link>https://github.com/r-universe/rruihan-zhang/actions/runs/36307447279</link><pubDate>Thu, 07 May 2026 03:33:57 GMT</pubDate><r:package>MultiEFM</r:package><r:version>0.1.2</r:version><r:status>failure</r:status><r:repository>https://rruihan-zhang.r-universe.dev</r:repository><r:upstream>https://github.com/rruihan-zhang/multiefm</r:upstream></item></channel></rss>