Run repeated M2 estimator recovery — multimodal_m2

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.

Value

An `eye_multimodal_m2_recovery`.

Details

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