eyeprocess_validation_plan: Declare an eyeprocess validation-evidence plan

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

Declare an eyeprocess validation-evidence plan

Description

Creates a deterministic validation plan. The plan describes software-validation scenarios and does not constitute evidence for the construct validity of any gaze, pupil, response-time, or psychometric measure.

Usage

eyeprocess_validation_plan(
  families = c("recovery", "sbc", "stress", "reliability", "negative_control"),
  sample_size = c(250L, 750L),
  n_items = c(12L, 24L),
  missing_rate = c(0, 0.15),
  noise_level = c("reference", "elevated"),
  specification = c("correct", "misspecified"),
  replications = 20L,
  seed = 20260811L,
  label = "eyeprocess-0.9-m2"
)

Arguments

families	Validation-evidence families to include.
sample_size	Validation sample size or vector of sample sizes.
n_items	Number of items.
missing_rate	Proportion of responses or observations set missing.
noise_level	Declared simulation noise regime.
specification	Whether the validation scenario is correctly specified or deliberately misspecified.
replications	Number of simulation or validation replications.
seed	Random-number seed for reproducible execution.
label	Human-readable label.

Value

An object of class "eye_validation_evidence_plan", stored as a named list, with components "families", "sample_size", "n_items", "missing_rate", "noise_level", "specification", "replications", "seed", "label". It contains declare an eyeprocess validation-evidence plan and associated metadata or diagnostics needed to interpret the result.

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