Package: minimaxALT
Type: Package
Title: Generate Optimal Designs of Accelerated Life Test using
        PSO-Based Algorithm
Version: 1.0.2
Encoding: UTF-8
License: GPL (>= 3)
Authors@R: c(
  person("Hoai-Linh", "Hoang", email = "hoailinh.hoang17@gmail.com", role = c("aut", "cre")),
  person("I-Chen", "Lee", role = "aut"),
  person("Ping-Yang", "Chen", role = "aut"),
  person("Ray-Bing", "Chen", role = "aut"),
  person("Weng Kee", "Wong", role = "aut"))
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and Hoang (2025), Model-Robust Minimax Design of Accelerated Life Tests via PSO-based Hybrid Algorithm, Master' Thesis, Unpublished. 
SystemRequirements: GNU Scientific Library (GSL), OpenMP
Imports: Rcpp (>= 1.0.11), RcppArmadillo (>= 14.0.0.1), RcppGSL (>=
        0.3.13), ggplot2 (>= 3.0.0), parallel (>= 4.0.0), stats,
        graphics
Depends: R (>= 4.0.0)
LinkingTo: Rcpp (>= 1.0.11), RcppArmadillo (>= 14.0.0.1), RcppGSL (>=
        0.3.13)
RoxygenNote: 7.3.2
URL: https://github.com/hoanglinh171/minimaxALT
BugReports: https://github.com/hoanglinh171/minimaxALT/issues
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
Config/testthat/edition: 3
NeedsCompilation: yes
Packaged: 2025-10-10 14:16:40 UTC; lu
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@gmail.com>
Repository: CRAN
Date/Publication: 2025-10-10 14:40:02 UTC
Built: R 4.4.3; x86_64-w64-mingw32; 2025-12-08 03:38:43 UTC; windows
Archs: x64
