Optimal Experimental Designs for Accelerated Life Testing
Design evaluation with interval censoring.
Design evaluation with right censoring.
tools:::Rd_package_title("ALTopt")
Optimal design with interval censoring.
Optimal design with right censoring.
Comparing designs using FUS
Comparing designs using VDUS
Coding and decoding stress level
Design plot.
Objective function of D optimal design with interval censoring
Objective function of D optimal design with right censoring
Transform the array to the model matrix
Objective function of U optimal design with interval censoring
Objective function of I optimal design with right censoring
Perform the k-means clustering and make design table
Calculates the prediction variance at the particular use condition
Contour plot of prediction variance for a design with interval censori...
Contour plot of prediction variance for a design with right censoring.
FUS (Fraction of Use Space) plot for interval censoring.
FUS (Fraction of Use Space) plot for right censoring.
VDUS (Variance Dispersion of Use Space) plot for interval censoring.
VDUS (Variance Dispersion of Use Space) plot for right censoring.
Objective function of U optimal design with interval censoring
Objective function of U optimal design with right censoring
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>.