<?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>schnieboli.r-universe.dev</title><link>https://schnieboli.r-universe.dev</link><description>Recent package updates in schnieboli</description><generator>R-universe</generator><image><url>https://github.com/schnieboli.png</url><title>R packages by schnieboli</title><link>https://schnieboli.r-universe.dev</link></image><lastBuildDate>Sat, 10 Oct 2026 15:31:57 GMT</lastBuildDate><item><title>[schnieboli] hdrm 1.0.0</title><author>nils.hichert@tu-dortmund.de (Nils Hichert)</author><description>Provides one-group and multiple-group tests for
expectation vectors in high-dimensional repeated-measures
designs. Hypotheses can be specified through projection
matrices or by selecting predefined effects. The multiple-group
procedures cover heterogeneous and equal covariance matrices.
Centered and standardized chi-square approximations are
combined with exact or subsampling-based trace estimators. The
functions return p-values, test statistics, estimated degrees
of freedom, and convergence parameters. For further details,
see Sattler and Hichert (2025) &lt;doi:10.48550/arXiv.2512.17478&gt;.</description><link>https://github.com/r-universe/schnieboli/actions/runs/38133101267</link><pubDate>Sat, 10 Oct 2026 15:31:57 GMT</pubDate><r:package>hdrm</r:package><r:version>1.0.0</r:version><r:status>success</r:status><r:repository>https://schnieboli.r-universe.dev</r:repository><r:upstream>https://github.com/schnieboli/hdrm</r:upstream></item></channel></rss>