Create folds for repeated nested CV
repeatfolds(y, repeats = 5, n_outer_folds = 10)
y
: Outcome vectorrepeats
: Number of repeatsn_outer_folds
: Number of outer CV foldsList containing indices of outer CV folds
data("iris") dat <- iris y <- dat$Species x <- dat[, 1:4] ## set up fixed fold indices set.seed(123, "L'Ecuyer-CMRG") folds <- repeatfolds(y, repeats = 3, n_outer_folds = 4) res <- nestcv.glmnet(y, x, family = "multinomial", alphaSet = 1, n_outer_folds = 4, cv.cores = 2) |> repeatcv(3, repeat_folds = folds) res