minimaxALT: Generate Optimal Designs of Accelerated Life Test using PSO-Based Algorithm

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and Hoang (2025), Model-Robust Minimax Design of Accelerated Life Tests via PSO-based Hybrid Algorithm, Master' Thesis, Unpublished.

Version:	1.0.0
Depends:	R (≥ 4.0.0)
Imports:	Rcpp (≥ 1.0.11), RcppArmadillo (≥ 14.0.0.1), RcppGSL (≥ 0.3.13), ggplot2 (≥ 3.0.0), parallel (≥ 4.0.0), stats, graphics
LinkingTo:	Rcpp (≥ 1.0.11), RcppArmadillo (≥ 14.0.0.1), RcppGSL (≥ 0.3.13)
Suggests:	testthat (≥ 3.0.0)
Published:	2025-09-01
Author:	Hoai-Linh Hoang [aut, cre], I-Chen Lee [aut], Ping-Yang Chen [aut], Ray-Bing Chen [aut], Weng Kee Wong [aut]
Maintainer:	Hoai-Linh Hoang <hoailinh.hoang17 at gmail.com>
BugReports:	https://github.com/hoanglinh171/minimaxALT/issues
License:	GPL (≥ 3)
URL:	https://github.com/hoanglinh171/minimaxALT
NeedsCompilation:	yes
SystemRequirements:	GNU Scientific Library (GSL), OpenMP
CRAN checks:	minimaxALT results

Documentation:

Reference manual:

minimaxALT.html , minimaxALT.pdf

Downloads:

Package source:	minimaxALT_1.0.0.tar.gz
Windows binaries:	r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries:	r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): minimaxALT_1.0.0.tgz, r-oldrel (x86_64): minimaxALT_1.0.0.tgz

Linking:

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