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)
All the bootstrap scores in a TRONCO model
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