calibration_error_model: Build an empirical bivariate calibration-error model

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

Build an empirical bivariate calibration-error model

Description

Build an empirical bivariate calibration-error model

Usage

calibration_error_model(
  data,
  gaze_x = "gaze_x",
  gaze_y = "gaze_y",
  target_x = "target_x",
  target_y = "target_y"
)

Arguments

data	Validation-target data.
gaze_x, gaze_y	Recorded gaze-coordinate columns.
target_x, target_y	Known target-coordinate columns.

Value

An object of class "eye_calibration_error_model", stored as a named list, with components "mean_error", "covariance", "errors", "n", "metrics", "coordinate_units", "status", "caveat". It contains an empirical bivariate calibration-error model and associated metadata or diagnostics needed to interpret the result.

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