process_information: Quantify incremental process information

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

Quantify incremental process information

Description

Compares posterior draws for the same latent target under a baseline and an augmented model. This implementation intentionally uses posterior uncertainty metrics rather than assuming Fisher information is additively decomposable across heterogeneous channels.

Usage

process_information(
  baseline,
  augmented,
  metric = c("variance_reduction", "precision_gain", "entropy_reduction")
)

Arguments

baseline, augmented	Numeric posterior draws. Rows are draws and columns are matched latent targets.
metric	'variance_reduction', 'precision_gain', or 'entropy_reduction'.

Value

An 'eye_process_information' data.frame.

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