multimodal_m2_recovery: Run repeated M2 estimator recovery

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

Run repeated M2 estimator recovery

Description

Repeatedly simulates from the M2 generating model, fits the M2 CmdStan reference estimator, and computes bias, RMSE, posterior standard deviation, and 95 dispersion, correlation, and hyperparameter families.

Usage

multimodal_m2_recovery(
  n_rep = 10L,
  n_person = 100L,
  n_item = 10L,
  dropout = c(response = 0, rt = 0, gaze = 0),
  base_seed = 20260814L,
  chains = 4L,
  parallel_chains = chains,
  iter_warmup = 1000L,
  iter_sampling = 1000L,
  prior_profile = c("regularized", "paper_centered"),
  adapt_delta = 0.95,
  max_treedepth = 12L,
  refresh = 0L
)

Arguments

n_rep	Number of simulation/fit replications.
n_person, n_item	Simulation size.
dropout	Channel dropout probabilities.
base_seed	Base seed.
chains, parallel_chains, iter_warmup, iter_sampling	CmdStan controls.
prior_profile	Prior profile.
adapt_delta, max_treedepth, refresh	CmdStan controls.

Details

This is intentionally computationally expensive and is not executed during ordinary package tests.

Value

An 'eye_multimodal_m2_recovery'.

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