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 |
| 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 |
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