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minimaxALT  

Generate Optimal Designs of Accelerated Life Test using PSO-Based Algorithm
View on CRAN: Click here


Download and install minimaxALT package within the R console
Install from CRAN:
install.packages("minimaxALT")

Install from Github:
library("remotes")
install_github("cran/minimaxALT")

Install by package version:
library("remotes")
install_version("minimaxALT", "1.0.4")



Attach the package and use:
library("minimaxALT")
Maintained by
Hoai-Linh Hoang
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-09-17
Latest Update: 2025-09-17
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, <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and Hoang (2025), Model-Robust Minimax Design of Accelerated Life Tests via PSO-based Hybrid Algorithm, Master' Thesis, Unpublished.
How to cite:
Hoai-Linh Hoang (2025). minimaxALT: Generate Optimal Designs of Accelerated Life Test using PSO-Based Algorithm. R package version 1.0.4, https://cran.r-project.org/web/packages/minimaxALT. Accessed 24 Oct. 2026.
Previous versions and publish date:
(2026-08-31 21:50), 1.0.0 (2025-09-01 11:30), 1.0.1 (2025-09-15 10:50), 1.0.2 (2025-10-10 16:40), 1.0.3 (2025-12-23 09:00)
Other packages that cited minimaxALT R package
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Other R packages that minimaxALT depends, imports, suggests or enhances
Complete documentation for minimaxALT
Functions, R codes and Examples using the minimaxALT R package
Full minimaxALT package functions and examples
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