tronco.kfold.posterr {TRONCO} | R Documentation

## tronco.kfold.posterr. For details and examples regarding the statistical assesment of an inferred model, we refer to the Vignette Section 7.

### Description

Perform a k-fold cross-validation using the function bn.cv and scan every node to estimate its posterior classification error.

### Usage

    tronco.kfold.posterr(
      x,
      models = names(as.models(x)),
      events = as.events(x),
      runs = 10,
      k = 10,
      cores.ratio = 1,
      silent = FALSE
    )

### Arguments

`x` | A reconstructed model (the output of tronco.capri)
`models` | The names of the selected regularizers (bic, aic or caprese)
`events` | a list of event
`runs` | a positive integer number, the number of times cross-validation will be run
`k` | a positive integer number, the number of groups into which the data will be split
`cores.ratio` | Percentage of cores to use. coresRate * (numCores - 1)
`silent` | A parameter to disable/enable verbose messages.

### Examples

    data(test_model)
    tronco.kfold.posterr(test_model, k = 2, runs = 2)

[Package TRONCO version 2.20.1 Index]