Package: minimaxALT 1.0.3

Hoai-Linh Hoang

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 <doi:10.1214/25-AOAS2075>, and Hoang (2025), Model-Robust Minimax Design of Accelerated Life Tests via PSO-based Hybrid Algorithm, Master' Thesis, Unpublished.

Authors:Hoai-Linh Hoang [aut, cre], I-Chen Lee [aut], Ping-Yang Chen [aut], Ray-Bing Chen [aut], Weng Kee Wong [aut]

minimaxALT_1.0.3.tar.gz
minimaxALT_1.0.3.tar.gz(r-4.7-arm64)minimaxALT_1.0.3.tar.gz(r-4.7-x86_64)minimaxALT_1.0.3.tar.gz(r-4.6-arm64)minimaxALT_1.0.3.tar.gz(r-4.6-x86_64)
minimaxALT_1.0.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
minimaxALT/json (API)
NEWS

# Install 'minimaxALT' in R:
install.packages('minimaxALT', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/hoanglinh171/minimaxalt/issues

Uses libs:
  • openblas– Optimized BLAS
  • gsl– GNU Scientific Library (GSL)
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library

On CRAN:

Conda:

openblasgslcppopenmp

1.60 score 2 scripts 486 downloads 5 exports 20 dependencies

Last updated from:f73043fa1f. Checks:4 NOTE, 2 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64NOTE189
linux-devel-x86_64NOTE184
source / vignettesOK187
linux-release-arm64NOTE222
linux-release-x86_64NOTE195
wasm-releaseOK163

Exports:check_equivalence_theoremfind_optimal_altinitialize_valuespso_settingset_design_info

Dependencies:clicpp11farverggplot2gluegtableisobandlabelinglifecycleR6RColorBrewerRcppRcppArmadilloRcppGSLrlangS7scalesvctrsviridisLitewithr