tronco.kfold.posterr {TRONCO} | R Documentation |
Perform a k-fold cross-validation using the function bn.cv and scan every node to estimate its posterior classification error.
tronco.kfold.posterr(x, models = names(as.models(x)), events = as.events(x), runs = 10, k = 10, cores.ratio = 1, silent = FALSE)
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. |
data(test_model) tronco.kfold.posterr(test_model, k = 2, runs = 2)