tronco caprese

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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

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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

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

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