# Summary method for optimal.cutpoints objects

### Description

Produces a summary of a `optimal.cutpoints`

object. The following are printed: the call to the `optimal.cutpoints()`

function; the optimal cutpoint(s) obtained with the method(s) selected;
its/their accuracy measures and the area under ROC curve (AUC) estimates at each categorical covariate level (if the `categorical.cov`

argument in the `optimal.cutpoints()`

function is not NULL).
If `optimal.cutpoints()`

was called with the `ci.fit = TRUE`

argument, confidence intervals for accuracy measures at the optimal cutpoint are also printed.

### Usage

1 2 |

### Arguments

`object` |
an object of class |

`...` |
further arguments passed to or from other methods. None are used in this method. |

### Details

The `summary.optimal.cutpoints`

function produces a list of summary information for a fitted `optimal.cutpoints`

object. The result depends on the three arguments, namely, `methods`

, `categorical.cov`

and `ci.fit`

of the `optimal.cutpoints()`

function used in the optimal cutpoints computing process.

### Value

Returns an object of class "summary.optimal.cutpoints" with the same components as the `optimal.cutpoints`

function (see `optimal.cutpoints`

) plus:

`p.table` |
a list with all the numerical information to be shown on the screen. |

### Author(s)

Monica Lopez-Raton and Maria Xose Rodriguez-Alvarez

### See Also

`optimal.cutpoints`

### Examples

1 2 3 4 5 6 7 8 9 10 | ```
library(OptimalCutpoints)
data(elas)
###########################################################
# Youden Index Method ("Youden"): Covariate gender
###########################################################
optimal.cutpoint.Youden<-optimal.cutpoints(X = "elas", status = "status", tag.healthy = 0,
methods = "Youden", data = elas, pop.prev = NULL, categorical.cov = "gender",
control = control.cutpoints(), ci.fit = TRUE, conf.level = 0.95, trace = FALSE)
summary(optimal.cutpoint.Youden)
``` |