<?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>hoanglinh171.r-universe.dev</title><link>https://hoanglinh171.r-universe.dev</link><description>Recent package updates in hoanglinh171</description><generator>R-universe</generator><image><url>https://github.com/hoanglinh171.png</url><title>R packages by hoanglinh171</title><link>https://hoanglinh171.r-universe.dev</link></image><lastBuildDate>Fri, 10 Oct 2025 13:40:05 GMT</lastBuildDate><item><title>[hoanglinh171] minimaxALT 1.0.2</title><author>hoailinh.hoang17@gmail.com (Hoai-Linh Hoang)</author><description>A computationally efficient solution for generating
optimal experimental designs in Accelerated Life Testing (ALT).
Leveraging a Particle Swarm Optimization (PSO)-based hybrid
algorithm, the package identifies optimal test plans that
minimize estimation variance under specified failure models and
stress profiles. For more detailed, see Lee et al. (2025),
Optimal Robust Strategies for Accelerated Life Tests and
Fatigue Testing of Polymer Composite Materials, submitted to
Annals of Applied Statistics,
&lt;https://imstat.org/journals-and-publications/annals-of-applied-statistics/annals-of-applied-statistics-next-issues/&gt;,
and Hoang (2025), Model-Robust Minimax Design of Accelerated
Life Tests via PSO-based Hybrid Algorithm, Master' Thesis,
Unpublished.</description><link>https://github.com/r-universe/hoanglinh171/actions/runs/27122089207</link><pubDate>Fri, 10 Oct 2025 13:40:05 GMT</pubDate><r:package>minimaxALT</r:package><r:version>1.0.2</r:version><r:status>success</r:status><r:repository>https://hoanglinh171.r-universe.dev</r:repository><r:upstream>https://github.com/hoanglinh171/minimaxalt</r:upstream></item></channel></rss>