The kmci class is returned by the functions kmciTG or kmciSW. The class
represents a fitted survival curve with pointwise confidence intervals.
Unlike the kmciLR class, which allows for confidence intervals to change at any time point,
the kmci class only has the confidence intervals change at observed failures.
Objects of this class has methods for the functions summary, plot, lines.
the time points of observed failures (assumed surv and lower and upper steps that these times)
time points where there is censoring but no observed failure
the estimate of survival at time t+0. This is a vector.
upper confidence limit for the survival curve.
lower confidence limit for the survival curve.
the level of the confidence limits, e.g., 0.95.
The following components must be included in a legitimate
kmci
object.
kmciLR.object
plot.kmci,
summary.kmci,
StCI.kmci,
median.kmci,
quantile.kmci.