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. For more details, see Seo and Pan (2015) <doi:10.32614/RJ-2015-029>.

Version:	0.1.2
Depends:	R (≥ 3.0.0)
Imports:	cubature (≥ 1.0), lattice (≥ 0.20), methods
Published:	2019-12-12
DOI:	10.32614/CRAN.package.ALTopt
Author:	Kangwon Seo [aut, cre], Rong Pan [aut]
Maintainer:	Kangwon Seo <seoka at missouri.edu>
License:	GPL-3
NeedsCompilation:	no
In views:	ExperimentalDesign
CRAN checks:	ALTopt results

Documentation:

Reference manual:

ALTopt.html , ALTopt.pdf

Downloads:

Package source:	ALTopt_0.1.2.tar.gz
Windows binaries:	r-devel: ALTopt_0.1.2.zip, r-release: ALTopt_0.1.2.zip, r-oldrel: ALTopt_0.1.2.zip
macOS binaries:	r-release (arm64): ALTopt_0.1.2.tgz, r-oldrel (arm64): ALTopt_0.1.2.tgz, r-release (x86_64): ALTopt_0.1.2.tgz, r-oldrel (x86_64): ALTopt_0.1.2.tgz
Old sources:	ALTopt archive

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