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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and Hoang (2025), Model-Robust Minimax Design of Accelerated Life Tests via PSO-based Hybrid Algorithm, Master' Thesis, Unpublished.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 |
| DOI: | 10.32614/CRAN.package.minimaxALT |
| 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 [issues need fixing before 2025-09-17] |
| Reference manual: | minimaxALT.html , minimaxALT.pdf |
| Package source: | minimaxALT_1.0.0.tar.gz |
| Windows binaries: | r-devel: not available, r-release: not available, r-oldrel: minimaxALT_1.0.0.zip |
| macOS binaries: | r-release (arm64): minimaxALT_1.0.0.tgz, r-oldrel (arm64): minimaxALT_1.0.0.tgz, r-release (x86_64): minimaxALT_1.0.0.tgz, r-oldrel (x86_64): minimaxALT_1.0.0.tgz |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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