ALTopt: Optimal Experimental Designs for Accelerated Life Testing

Creates the optimal (D, U and I) designs for the accelerated life testing with right censoring or interval censoring. It uses generalized linear model (GLM) approach to derive the asymptotic variance-covariance matrix of regression coefficients. The failure time distribution is assumed to follow Weibull distribution with a known shape parameter and log-linear link functions are used to model the relationship between failure time parameters and stress variables. The acceleration model may have multiple stress factors, although most ALTs involve only two or less stress factors. ALTopt package also provides several plotting functions including contour plot, Fraction of Use Space (FUS) plot and Variance Dispersion graphs of Use Space (VDUS) plot.

Version: 0.1.1
Depends: R (≥ 3.0.0)
Imports: cubature (≥ 1.0), lattice (≥ 0.20)
Published: 2015-08-28
Author: Kangwon Seo [aut, cre], Rong Pan [aut]
Maintainer: Kangwon Seo <kseo7 at>
License: GPL-3
NeedsCompilation: no
In views: ExperimentalDesign
CRAN checks: ALTopt results


Reference manual: ALTopt.pdf
Package source: ALTopt_0.1.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X El Capitan binaries: r-release: ALTopt_0.1.1.tgz
OS X Mavericks binaries: r-oldrel: ALTopt_0.1.1.tgz
Old sources: ALTopt archive


Please use the canonical form to link to this page.