tronco.caprese {TRONCO} | R Documentation

## tronco caprese

### Description

Reconstruct a progression model using CAPRESE algorithm. For details and examples regarding the inference process and on the algorithm implemented in the package, we refer to the Vignette Section 6.

### Usage

    tronco.caprese(data, lambda = 0.5, silent = FALSE, epos = 0, eneg = 0)

### Arguments

`data` | A TRONCO compliant dataset.
`lambda` | Coefficient to combine the raw estimate with a correction factor into a shrinkage estimator.
`silent` | A parameter to disable/enable verbose messages.
`epos` | Error rate of false positive errors.
`eneg` | Error rate of false negative errors.

### Value

A TRONCO compliant object with reconstructed model

### Examples

    data(test_dataset_no_hypos)
    recon = tronco.caprese(test_dataset_no_hypos)

[Package TRONCO version 2.20.1 Index]