<?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>mobuobi.r-universe.dev</title><link>https://mobuobi.r-universe.dev</link><description>Recent package updates in mobuobi</description><generator>R-universe</generator><image><url>https://github.com/mobuobi.png</url><title>R packages by mobuobi</title><link>https://mobuobi.r-universe.dev</link></image><lastBuildDate>Wed, 07 Oct 2026 14:24:38 GMT</lastBuildDate><item><title>[mobuobi] multipathaic 0.1.1</title><author>obuobimichael25@gmail.com (Michael Obuobi)</author><description>Implements a multi-path forward selection algorithm using
the Akaike Information Criterion (AIC) for both linear
(Gaussian) and logistic (binomial) regression models. Unlike
traditional stepwise methods that follow a single path, this
approach explores multiple competitive model paths
simultaneously by retaining near-optimal models at each step.
The package includes stability estimation via bootstrap
resampling and identifies plausible models based on AIC
tolerance and variable stability thresholds.</description><link>https://github.com/r-universe/mobuobi/actions/runs/40868935603</link><pubDate>Wed, 07 Oct 2026 14:24:38 GMT</pubDate><r:package>multipathaic</r:package><r:version>0.1.1</r:version><r:status>success</r:status><r:repository>https://mobuobi.r-universe.dev</r:repository><r:upstream>https://github.com/mobuobi/multipathaic</r:upstream><r:article><r:source>diabetes-analysis.Rmd</r:source><r:filename>diabetes-analysis.html</r:filename><r:title>Multi-Path AIC Selection: Diabetes Progression Analysis</r:title><r:created>2025-12-17 02:41:51</r:created><r:modified>2026-10-07 14:24:38</r:modified></r:article><r:article><r:source>method_vignette.Rmd</r:source><r:filename>method_vignette.html</r:filename><r:title>Multi-Path AIC Selection: Methodology</r:title><r:created>2025-12-17 03:26:18</r:created><r:modified>2026-10-07 14:24:38</r:modified></r:article></item></channel></rss>