kfoldPredict.hyper_gam: \(k\)-Fold Prediction of hyper_gam Model
Description
\(k\)-fold prediction of hyper_gam model.
Usage
kfoldPredict.hyper_gam(object, k, mc.cores = getOption("mc.cores"), ...)Value
Function kfoldPredict.hyper_gam() returns a numeric
vector,
with attributes for savvy developers
attr(.,'fold')integer vector, indices of the \(i\)-th fold
attr(.,'sgn')numeric vector of length-\(k\), sign-adjustment for each fold
attr(.,'no_sadj')numeric vector, predictions without sign adjustment
attr(.,'global_sadj')numeric vector, predictions based on sign-adjustment by the complete data (instead of each fold)
Arguments
- object
a hyper_gam object
- k
integer scalar
- mc.cores
integer scalar, see function mclapply
- ...
additional parameters, currently not in use