<?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>btanay041.r-universe.dev</title><link>https://btanay041.r-universe.dev</link><description>Recent package updates in btanay041</description><generator>R-universe</generator><image><url>https://github.com/btanay041.png</url><title>R packages by btanay041</title><link>https://btanay041.r-universe.dev</link></image><lastBuildDate>Tue, 03 Nov 2026 15:24:05 GMT</lastBuildDate><item><title>[btanay041] uncertR 0.1.3</title><author>btanay041@gmail.com (Tanay Belapurkar)</author><description>Fits bootstrap ensembles of penalized regression models on
bulk gene-expression data, derives per-sample uncertainty
scores from out-of-bag predictions, and tests whether technical
covariates explain that uncertainty. The bootstrap method is
described by Efron and Tibshirani (1993, ISBN:9780412042317),
and elastic-net regression follows Friedman, Hastie, and
Tibshirani (2010) &lt;doi:10.18637/jss.v033.i01&gt;. The optional
immunedeconv package, used for immune-cell deconvolution, is
available from GitHub
&lt;https://github.com/omnideconv/immunedeconv&gt;.</description><link>https://github.com/r-universe/btanay041/actions/runs/41836198274</link><pubDate>Tue, 03 Nov 2026 15:24:05 GMT</pubDate><r:package>uncertR</r:package><r:version>0.1.3</r:version><r:status>success</r:status><r:repository>https://btanay041.r-universe.dev</r:repository><r:upstream>https://github.com/cran/uncertR</r:upstream><r:article><r:source>uncertR.Rmd</r:source><r:filename>uncertR.html</r:filename><r:title>Getting started with uncertR</r:title><r:created>2026-11-03 15:24:05</r:created><r:modified>2026-11-03 15:24:05</r:modified></r:article></item></channel></rss>