Fit the M2 response + RT + gaze reference model — fit_multimodal

Fits the likelihood-faithful M2 reference model with CmdStanR. There is no silent fallback. Missing observations are omitted from their channel-specific likelihood under an explicit ignorable missingness assumption; the person and item structural layers remain joint across the observed channels.

Usage

fit_multimodal_m2(
  x,
  person = "person_id",
  item = "item_id",
  response = "response",
  rt = "rt",
  gaze = "gaze",
  prior_profile = c("regularized", "paper_centered"),
  chains = 4L,
  parallel_chains = chains,
  iter_warmup = 1000L,
  iter_sampling = 1000L,
  seed = 20260814L,
  adapt_delta = 0.95,
  max_treedepth = 12L,
  refresh = 100L,
  quiet_compile = TRUE
)

Arguments

x: Data frame, `eye_multimodal_m2_simulation`, or compatible eyeprocess multimodal measurement object.
person, item, response, rt, gaze: Column names.
prior_profile: Prior profile.
chains, parallel_chains, iter_warmup, iter_sampling: CmdStan sampling controls.
seed: Reproducibility seed.
adapt_delta, max_treedepth, refresh: CmdStan controls.
quiet_compile: Suppress CmdStan compilation messages.

Value

An `eye_multimodal_m2_fit`.