<?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>vguillemot.r-universe.dev</title><link>https://vguillemot.r-universe.dev</link><description>Recent package updates in vguillemot</description><generator>R-universe</generator><image><url>https://github.com/vguillemot.png</url><title>R packages by vguillemot</title><link>https://vguillemot.r-universe.dev</link></image><lastBuildDate>Tue, 15 Sep 2026 20:44:13 GMT</lastBuildDate><item><title>[vguillemot] ppls 2.1.0</title><author>contact@vincentguillemot.fr (Vincent Guillemot)</author><description>Linear and nonlinear regression methods based on Partial
Least Squares and Penalization Techniques. Model parameters are
selected via cross-validation, and confidence intervals and
tests for the regression coefficients can be conducted via
jackknifing. The method is described and applied to simulated
and experimental data in Kraemer et al. (2008)
&lt;doi:10.1016/j.chemolab.2008.06.009&gt;.</description><link>https://github.com/r-universe/vguillemot/actions/runs/38726292538</link><pubDate>Tue, 15 Sep 2026 20:44:13 GMT</pubDate><r:package>ppls</r:package><r:version>2.1.0</r:version><r:status>success</r:status><r:repository>https://vguillemot.r-universe.dev</r:repository><r:upstream>https://github.com/vguillemot/ppls</r:upstream></item><item><title>[vguillemot] SHIP 2.1.0</title><author>contact@vincentguillemot.fr (Vincent Guillemot)</author><description>Estimates shrinkage covariance matrices from data using
user-selected targets, including diagonal,
constant-correlation, and knowledge-based targets informed by
functional gene groups. The shrinkage intensity is computed
analytically.</description><link>https://github.com/r-universe/vguillemot/actions/runs/38726250809</link><pubDate>Tue, 15 Sep 2026 17:46:15 GMT</pubDate><r:package>SHIP</r:package><r:version>2.1.0</r:version><r:status>success</r:status><r:repository>https://vguillemot.r-universe.dev</r:repository><r:upstream>https://github.com/vguillemot/ship</r:upstream><r:article><r:source>ship-overview.qmd</r:source><r:filename>ship-overview.html</r:filename><r:title>A short introduction to SHIP</r:title><r:created>2026-09-15 17:46:15</r:created><r:modified>2026-09-15 17:46:15</r:modified></r:article></item></channel></rss>