<?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>dzijlmans.r-universe.dev</title><link>https://dzijlmans.r-universe.dev</link><description>Recent package updates in dzijlmans</description><generator>R-universe</generator><image><url>https://github.com/dzijlmans.png</url><title>R packages by dzijlmans</title><link>https://dzijlmans.r-universe.dev</link></image><lastBuildDate>Thu, 12 Nov 2026 15:38:16 GMT</lastBuildDate><item><title>[biocstaging] repli 0.99.0</title><author>dickzijlmans@gmail.com (Dick Zijlmans)</author><description>Implements replicate-based imputation for missing at
random (MAR) values in proteomics data. The method leverages
existing measurements from other replicates to determine
imputation parameters (mean of observed values and global
standard deviation).</description><link>https://github.com/r-universe/biocstaging/actions/runs/43260445098</link><pubDate>Thu, 12 Nov 2026 15:38:16 GMT</pubDate><r:package>repli</r:package><r:version>0.99.0</r:version><r:status>success</r:status><r:repository>https://biocstaging.r-universe.dev</r:repository><r:upstream>https://github.com/BiocStaging/repli</r:upstream><r:article><r:source>repli.Rmd</r:source><r:filename>repli.html</r:filename><r:title>Getting started with replicate-based imputation</r:title><r:created>2026-08-26 09:41:09</r:created><r:modified>2026-11-12 15:38:16</r:modified></r:article></item></channel></rss>