summary.cfc.survreg {CFC} | R Documentation |

##
Summarizing and plotting output of `cfc.survreg`

### Description

`summary`

and method for class `cfc.survreg`

.

### Usage

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

### Arguments

`object` |
An object of class "cfc.survreg", usually the result of a call to |

`obs.idx` |
Index of observations to calculate mean cumulative incidence for; defaults to all observation. |

`...` |
Further arguments to be passed to/from other methods. |

`x` |
An object of class |

`which` |
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. |

### Value

`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`

.

### Author(s)

Mansour T.A. Sharabiani, Alireza S. Mahani

### References

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`

.

*CFC*version 1.2.0 Index]