qftdist(p=0.1, location=0, scale=1, distribution="extreme", link="log", fit=NULL, X=NULL, coverage=0.9, data=NULL, se.fit=T, conf.interval=T)
"weibull",
"extreme",
"lognormal",
"normal",
"loggaussian",
"gaussian",
"loglogistic",
"logistic",
"logexponential",
"exponential",
"lograyleigh", and
"rayleigh".
"censorReg" object. This may be either an object that inherits
from class
"censorReg", or a list of objects that inherit from class
"censorReg". If present, arguments
location,
scale, and
distribution
are ignored.
T.
T, upper and lower boundaries of confidence intervals are
returned.
X is input, then a
list of matrices of quantiles and confidence intervals is computed, one for
each element in the data frame
X.
When fit is input, threshold is added to the estimated quantile. Offsets, if any, are also incorporated into the quantile estimate.
qftdist(p=c(0.01, 0.05, 0.1, 0.5, 0.9, 0.95, 0.99), distribution="normal") a <- censorReg(censor(days,event)~voltage,data=capacitor) qftdist(p=c(0.01, 0.05, 0.1, 0.5), fit=a, X=20:32)