cfc.survreg
summary
and method for class cfc.survreg
.
# S3 method for cfc.survreg
summary(object, obs.idx = "all", ...)
# S3 method for summary.cfc.survreg
plot(x, which = c(1, 2), ...)
summary.cfc.surveeg
produces a matrix of dimensions length(object$tout)
(number of time points) by object$K
(number of causes). See description of which
aregument for plot.summary.cfc.survreg
.
An object of class "cfc.survreg", usually the result of a call to cfc.survreg
.
Index of observations to calculate mean cumulative incidence for; defaults to all observation.
Further arguments to be passed to/from other methods.
An object of class summary.cfc.survreg
, usually the output of summary.cfc.survreg
.
Vector of integers, indicating which plot(s) must be produced: 1) cumulative incidence functions, one per cause, as a function of time-to-index, all in the same plot, 2) comparison of cumulative incidence function with/without competing-risk adjustment. The unadjusted figure is equivalent to 1 minus the Kaplan-Meyer (i.e., survival) function.
Mansour T.A. Sharabiani, Alireza S. Mahani
Mahani A.S. and Sharabiani M.T.A. (2019). Bayesian, and Non-Bayesian, Cause-Specific Competing-Risk Analysis for Parametric and Nonparametric Survival Functions: The R Package CFC. Journal of Statistical Software, 89(9), 1-29. doi:10.18637/jss.v089.i09