multimodal_m3_recovery: Run M3 parameter-recovery and stress evidence

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

Run M3 parameter-recovery and stress evidence

Description

Repeatedly simulates and fits M3 across pupil-signal and pupil-missingness scenarios, summarizing bias, RMSE, posterior SD, interval coverage and MCMC diagnostics. Small 'reps' values are smoke tests; scientific promotion requires a predeclared larger grid.

Usage

multimodal_m3_recovery(
  reps = 3L,
  pupil_signal = c("informative", "weak", "null", "redundant", "confounded"),
  pupil_missingness = c("mcar", "quality", "device"),
  n_person = 80L,
  n_item = 10L,
  seed = 20260815L,
  fit_args = list(chains = 2L, parallel_chains = 2L, iter_warmup = 500L, iter_sampling =
    300L, refresh = 0L, init = 0)
)

Arguments

reps	Replications per design cell.
pupil_signal, pupil_missingness	Scenario vectors.
n_person, n_item	Design size.
seed	Base seed.
fit_args	Named sampling arguments for 'fit_multimodal_m3()'.

Value

An 'eye_multimodal_m3_recovery' object.

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