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)