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

## Summarizing time-denominated CFC objects

### Description

`summary`

method for class `cfc.tbasis`

.

### Usage

```
## S3 method for class 'cfc.tbasis'
summary(object,
MARGIN = if (class(object)[2] == "matrix") NULL else 1,
...)
## S3 method for class 'summary.cfc.tbasis'
plot(x, t = 1, ci = 0.95, ...)
```

### Arguments

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

`MARGIN` |
Dimensions of cumulative incidence and event-free probability arrays to keep while averaging the remaining dimensions. If the |

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

`t` |
Regular time step, or vector of time values, used for producing cumulative incidence and event-free probability plots. |

`ci` |
Confidence interval used in cumulative incidence and event-free probability plots. |

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

### Value

The function `summary.cfc.tbasis`

calculates the average of cumulative incidence and event-free probability functions as directed by `MARGIN`

. For example, if the element `ci1`

of the object list is three-dimensional, then using `MARGIN=c(1,2)`

causes the last dimension to be averaged out.

### Author(s)

Alireza S. Mahani, Mansour T.A. Sharabiani

### 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.tbasis`

. See `summary`

and `plot`

for descriptions of the generic methods. See `cfc.pbasis`

for probability-denominated CFC, as well as usage examples.

*CFC*version 1.2.0 Index]