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license: GPL-3.0-or-later
title: 'minimaxALT: Generate Optimal Designs of Accelerated Life Test using PSO-Based
  Algorithm'
version: 1.0.2
doi: 10.32614/CRAN.package.minimaxALT
abstract: 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, <https://imstat.org/journals-and-publications/annals-of-applied-statistics/annals-of-applied-statistics-next-issues/>,
  and Hoang (2025), Model-Robust Minimax Design of Accelerated Life Tests via PSO-based
  Hybrid Algorithm, Master' Thesis, Unpublished.
authors:
- family-names: Hoang
  given-names: Hoai-Linh
  email: hoailinh.hoang17@gmail.com
- family-names: Lee
  given-names: I-Chen
- family-names: Chen
  given-names: Ping-Yang
- family-names: Chen
  given-names: Ray-Bing
- family-names: Wong
  given-names: Weng Kee
repository: https://hoanglinh171.r-universe.dev
repository-code: https://github.com/hoanglinh171/minimaxALT
commit: 1ad61e719fbd300c03e8798825e58775d684eb19
url: https://github.com/hoanglinh171/minimaxALT
date-released: '2025-10-10'
contact:
- family-names: Hoang
  given-names: Hoai-Linh
  email: hoailinh.hoang17@gmail.com