<?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>nmoir.r-universe.dev</title><link>https://nmoir.r-universe.dev</link><description>Recent package updates in nmoir</description><generator>R-universe</generator><image><url>https://github.com/nmoir.png</url><title>R packages by nmoir</title><link>https://nmoir.r-universe.dev</link></image><lastBuildDate>Tue, 15 Sep 2026 14:27:22 GMT</lastBuildDate><item><title>[bioc] BatchVaria 0.99.2</title><author>nicholas.moir@ed.ac.uk (Nicholas Moir)</author><description>Evaluates batch correction in omics data by quantifying
how a correction redistributes variance, not only whether it
removes it. Records correction and variance-decomposition
provenance in the metadata of an ordinary SummarizedExperiment,
and harmonises both the batch correction methods and the
variance-profiling engines behind documented contracts, so that
either set can be extended without modifying the package.
Variance fractions are compositional, so removing variance
associated with one term inflates the fraction attributed to
every other. Each decomposition is therefore recorded alongside
the total variance it is relative to and the share an
unbalanced design cannot attribute to any single term, which is
what distinguishes a correction that removed unwanted variation
from one that merely removed variation.</description><link>https://github.com/r-universe/bioc/actions/runs/38456467920</link><pubDate>Tue, 15 Sep 2026 14:27:22 GMT</pubDate><r:package>BatchVaria</r:package><r:version>0.99.2</r:version><r:status>success</r:status><r:repository>https://bioc.r-universe.dev</r:repository><r:upstream>https://github.com/bioc/BatchVaria</r:upstream><r:article><r:source>BatchVaria-quickstart.Rmd</r:source><r:filename>BatchVaria-quickstart.html</r:filename><r:title>BatchVaria Quickstart: Evaluating Batch Correction Performance</r:title><r:created>2026-08-05 17:38:22</r:created><r:modified>2026-08-17 02:50:44</r:modified></r:article></item></channel></rss>