The R Journal: article published in 2015, volume 7:2

ALTopt: An R Package for Optimal Experimental Design of Accelerated Life Testing
Kangwon Seo and Rong Pan , The R Journal (2015) 7:2, pages 177-188.

Abstract The R package ALTopt has been developed with the aim of creating and evaluating optimal experimental designs of censored accelerated life tests (ALTs). This package takes the generalized linear model approach to ALT planning, because this approach can easily handle censoring plans and derive information matrices for evaluating designs. Three types of optimality criteria are considered: D-optimality for model parameter estimation, U-optimality for reliability prediction at a single use condition, and I-optimality for reliability prediction over a region of use conditions. The Weibull distribution is assumed for failure time data and more than one stress factor can be specified in the package. Several graphical evaluation tools are also provided for the comparison of different ALT test plans.

Received: 2015-03-18; online 2015-09-29
CRAN packages: ALTopt
CRAN Task Views implied by cited CRAN packages: ExperimentalDesign

This article is licensed under a Creative Commons Attribution 3.0 Unported license .

@article{RJ-2015-029,
  author = {Kangwon Seo and Rong Pan},
  title = {{ALTopt: An R Package for Optimal Experimental Design of
          Accelerated Life Testing}},
  year = {2015},
  journal = {{The R Journal}},
  doi = {10.32614/RJ-2015-029},
  url = {https://doi.org/10.32614/RJ-2015-029},
  pages = {177--188},
  volume = {7},
  number = {2}
}