tronco.kfold.posterr: tronco.kfold.posterr. For details and examples regarding the...

In TRONCO: TRONCO, an R package for TRanslational ONCOlogy

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, cores.ratio = 0)

TRONCO documentation built on Nov. 8, 2020, 5:51 p.m.