crossed_grouped_folds: Create cross-classified grouped folds

In eyeprocess: Harmonize Eye-Tracking, Pupillometry, Biometrics, and Psychometric Process Data

Create cross-classified grouped folds

Description

Holds out levels from every declared grouping dimension simultaneously. The assessment set is the intersection of held-out levels; the analysis set excludes every held-out level. Rows combining held-out and retained levels form a buffer and are deliberately used in neither set.

Usage

crossed_grouped_folds(
  data,
  groups = c("participant_id", "item_id"),
  v = 5L,
  seed = 1L
)

Arguments

data	Data frame.
groups	Two or more crossed grouping columns.
v	Number of folds.
seed	Random seed.

Value

An 'eye_crossed_grouped_folds' object.

eyeprocess documentation built on Sept. 28, 2026, 5:08 p.m.