Plan or run M4 state-count and modelling sensitivity analyses

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`.