<?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>kimhyew1.r-universe.dev</title><link>https://kimhyew1.r-universe.dev</link><description>Recent package updates in kimhyew1</description><generator>R-universe</generator><image><url>https://github.com/kimhyew1.png</url><title>R packages by kimhyew1</title><link>https://kimhyew1.r-universe.dev</link></image><lastBuildDate>Tue, 15 Sep 2026 00:02:37 GMT</lastBuildDate><item><title>[kimhyew1] matSPACE 0.2.0</title><author>kimhw4126@gmail.com (Hyewon Kim)</author><description>Fits sparse partial correlation networks for
matrix-variate data by extending the SPACE joint partial
correlation estimation framework to a Kronecker-product
covariance structure. All partial correlations are estimated
simultaneously via an L1-penalized (lasso) shooting algorithm
within a single optimization framework, which preserves
symmetry of the estimated network and avoids the
tuning-parameter selection difficulties of separate node-wise
regressions. Optional features include column reweighting,
residual variance re-estimation across outer iterations, and
automatic generation of a lasso penalty sequence for tuning.</description><link>https://github.com/r-universe/kimhyew1/actions/runs/34918341579</link><pubDate>Tue, 15 Sep 2026 00:02:37 GMT</pubDate><r:package>matSPACE</r:package><r:version>0.2.0</r:version><r:status>success</r:status><r:repository>https://kimhyew1.r-universe.dev</r:repository><r:upstream>https://github.com/kimhyew1/matspace</r:upstream></item></channel></rss>