alteval.ic {ALTopt}  R Documentation 
alteval.ic
calculates the objective function value
(D, U or I) for a given design with interval censoring plan.
alteval.ic( designTable, optType, t, k, nf, alpha, formula, coef, useCond, useLower, useUpper )
designTable 
a data frame containing the coordinates and the number of
allocation of each design point. The design created by either

optType 
the choice of 
t 
the total testing time. 
k 
the number of time intervals. 
nf 
the number of stress factors. 
alpha 
the value of the shape parameter of Weibull distribution. 
formula 
the object of class formula which is the linear predictor model. 
coef 
the numeric vector containing the coefficients of each term in 
useCond 
the numeric vector of use condition.
It should be provided when 
useLower 
the numeric vector of lower bound of use region.
It should be provided when 
useUpper 
the numeric vector of upper bound of use region.
It should be provided when 
The objective function value corresponded by optType
for a given design with interval censoring plan.
# Evaluation of factorial design for interval censoring. x1 < c(0, 1, 0, 1) x2 < c(0, 0, 1, 1) allocation < c(25, 25, 25, 25) facDes < data.frame(x1, x2, allocation) alteval.ic(facDes, "D", 30, 5, 2, 1, formula = ~ x1 + x2 + x1:x2, coef = c(0, 4.086, 1.476, 0.01)) alteval.ic(facDes, "U", 30, 5, 2, 1, formula = ~ x1 + x2 + x1:x2, coef = c(0, 4.086, 1.476, 0.01), useCond = c(1.758, 3.159)) alteval.ic(facDes, "I", 30, 5, 2, 1, formula = ~ x1 + x2 + x1:x2, coef = c(0, 4.086, 1.476, 0.01), useLower = c(1.458, 2.859), useUpper = c(2.058, 3.459))