<?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>patriciapuch.r-universe.dev</title><link>https://patriciapuch.r-universe.dev</link><description>Recent package updates in patriciapuch</description><generator>R-universe</generator><image><url>https://github.com/patriciapuch.png</url><title>R packages by patriciapuch</title><link>https://patriciapuch.r-universe.dev</link></image><lastBuildDate>Tue, 16 Sep 2025 11:00:02 GMT</lastBuildDate><item><title>[patriciapuch] ssMRCD 2.0.1</title><author>patricia.puchhammer@tuwien.ac.at (Patricia Puchhammer)</author><description>Estimation of robust estimators for multi-group and
spatial data including the casewise robust Spatially Smoothed
Minimum Regularized Determinant (ssMRCD) estimator and its
usage for local outlier detection as described in Puchhammer
and Filzmoser (2023) &lt;doi:10.1080/10618600.2023.2277875&gt; as
well as for sparse robust PCA for multi-source data described
in Puchhammer, Wilms and Filzmoser (2024)
&lt;doi:10.48550/arXiv.2407.16299&gt;. Moreover, a cellwise robust
multi-group Gaussian mixture model (MG-GMM) is implemented as
described in Puchhammer, Wilms and Filzmoser (2024)
&lt;doi:10.48550/arXiv.2504.02547&gt;. Included are also
complementary visualization and parameter tuning tools.</description><link>https://github.com/r-universe/patriciapuch/actions/runs/28006274364</link><pubDate>Tue, 16 Sep 2025 11:00:02 GMT</pubDate><r:package>ssMRCD</r:package><r:version>2.0.1</r:version><r:status>success</r:status><r:repository>https://patriciapuch.r-universe.dev</r:repository><r:upstream>https://github.com/cran/ssMRCD</r:upstream><r:article><r:source>cellMGGMM.Rmd</r:source><r:filename>cellMGGMM.html</r:filename><r:title>Cellwise Robust Multi-Group Gaussian Mixture Model</r:title><r:created>2025-09-11 10:00:02</r:created><r:modified>2025-09-11 10:00:02</r:modified></r:article><r:article><r:source>ssMRCD.Rmd</r:source><r:filename>ssMRCD.html</r:filename><r:title>Local Outlier Detection with ssMRCD</r:title><r:created>2023-05-15 18:20:02</r:created><r:modified>2025-09-11 10:00:02</r:modified></r:article><r:article><r:source>SRPCAMS.Rmd</r:source><r:filename>SRPCAMS.html</r:filename><r:title>Sparse Robust PCA with the ssMRCD Estimator for Multi-Source Data</r:title><r:created>2025-09-11 10:00:02</r:created><r:modified>2025-09-11 10:00:02</r:modified></r:article></item></channel></rss>