Returns a dataframe with all the average/stdev entropy loss score of a TRONCO model. It is possible to specify models if multiple reconstruction have been performed.

as.kfold.eloss(x, models = names(x$model), values = FALSE)

Arguments

x

A TRONCO model.

models

A subset of reconstructed models, all by default.

values

If you want to see also the values

Value

All the bootstrap scores in a TRONCO model

Examples

data(test_model_kfold)
as.kfold.eloss(test_model_kfold)
#>               Mean %-of-logLik      Stdev
#> capri_bic 7.171654    3.005719 0.04138269
#> capri_aic 7.034192    3.110566 0.06849423
as.kfold.eloss(test_model_kfold, models='capri_aic')
#>               Mean %-of-logLik      Stdev
#> capri_aic 7.034192    3.110566 0.06849423