minimaxALT
1.0.3Generate Optimal Designs of Accelerated Life Test using PSO-Based Algorithm
Overview
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and Hoang (2025), Model-Robust Minimax Design of Accelerated Life Tests via PSO-based Hybrid Algorithm, Master' Thesis, Unpublished.
Install
Health
- NOTE r-devel-linux-x86_64-fedora-clang
- NOTE r-devel-linux-x86_64-fedora-gcc
- NOTE2026-04-2210 OK · 4 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-04-189 OK · 4 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- NOTE2026-03-1010 OK · 4 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- References docs
- 33%
Downloads
Repository
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2 development-tooling and community-health practices detected across 2 families in the upstream repository
Checks run against github.com/hoanglinh171/minimaxalt on 2026-08-16.
Dependencies
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Code & Tests
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Package metadata
- First published
- 2025-09-01
- Total releases
- 4 / 1 yrs
- License
- GPL (>= 3) OSI
- Minimum R
- ≥ 4.0.0
- Download size
- 1.5 MB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
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