fit_multimodal_m2: Fit the M2 response + RT + gaze reference model

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

Fit the M2 response + RT + gaze reference model

Description

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'.

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