summary.cfc.survreg {CFC}R Documentation

Summarizing and plotting output of cfc.survreg


summary and method for class cfc.survreg.


## S3 method for class 'cfc.survreg'
summary(object, obs.idx = "all", ...)
## S3 method for class 'summary.cfc.survreg'
plot(x, which = c(1, 2), ...)



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.


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.


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

See Also

The model fitting function is cfc.survreg. See summary and plot for descriptions of the generic methods. For more flexible ways of cause-specific competing-risk analysis, see cfc.

[Package CFC version 1.2.0 Index]