multimodal_m4_sensitivity: Plan or run M4 state-count and modelling sensitivity analyses

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

Plan or run M4 state-count and modelling sensitivity analyses

Description

The default returns a transparent sensitivity design without fitting. It covers K, priors, trait conditioning, transition structure, state channels, nuisance adjustment, and sequence-length threshold. No automatic 'best_K' is declared.

Usage

multimodal_m4_sensitivity(x, n_states = 1:4, run = FALSE, fit_args = list())

Arguments

x	Data or simulation.
n_states	Candidate state counts, default 1:4.
run	Whether to execute K-sensitivity fits. Other sensitivity dimensions remain explicit design rows rather than an automatic combinatorial grid.
fit_args	Optional fitting arguments.

Value

An 'eye_multimodal_m4_sensitivity'.

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