#' fold_indexing
#'
#' Produces a list of indices split into k-folds.
#'
#' @param index_length Length of vector to index
#' @param num_folds Number of folds to use.
#' @return List of vectors of indices
#'
#' @export
fold_indexing <- function(index_length,
num_folds) {
random_index <- sample(1L:index_length, size = index_length)
gap_len <- index_length %% num_folds
sub_length <- index_length - gap_len
cut_indices <- seq(1L, sub_length + 1L,
length.out = num_folds + 1L
) +
cumsum(c(0L, rep(1L, gap_len), rep(0L, num_folds - gap_len)))
lapply(1L:num_folds, function(j) {
random_index[cut_indices[j]:(cut_indices[j + 1L] - 1L)]
})
}
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