as.confidence {TRONCO} | R Documentation

## as.confidence

### Description

Return confidence information for a TRONCO model. Available information are: temporal priority (tp), probability raising (pr), hypergeometric test (hg), parametric (pb), non parametric (npb) or statistical (sb) bootstrap, entropy loss (eloss), prediction error (prederr). Confidence is available only once a model has been reconstructed with any of the algorithms implemented in TRONCO. If more than one model has been reconstructed - for instance via multiple regularizations - confidence information is appropriately nested. The requested confidence is specified via vector parameter `conf`.

### Usage

    as.confidence(x, conf, models = names(x$model))

### Arguments

`x` | A TRONCO model.
`conf` | A vector with any of 'tp', 'pr', 'hg', 'npb', 'pb', 'sb', 'eloss', 'prederr' or 'posterr'.
`models` | The name of the models to extract, all by default.

### Value

A list of matrices with the event-to-event confidence.

### Examples

    data(test_model)
    as.confidence(test_model, conf='tp')
    as.confidence(test_model, conf=c('tp', 'hg'))

[Package TRONCO version 2.20.1 Index]