This function uses parametric bootstrap to compute confidence intervals for
the risk estimates. Since it relies on MLE theory for the validity of these
intervals, this function only works for fit_obj that was fitted using
family = "glm" (i.e. the default).
# S3 method for absRiskCB
confint(object, parm, level = 0.95, nboot = 500, ...)Output of function absoluteRisk.
Output of function fitSmoothHazard that was used to
compute object.
The confidence level required.
The number of bootstrap samples to use.
Additional arguments for methods.
If there is only one covariate profile, the function returns a matrix with the time points, the risk estimates, and the confidence intervals. If there are more than one covariate profile, the function returns a list with three components.
If the package progress is available, the function also reports on
progress of the sampling (which can take some time if there are many
covariate profiles and/or time points).