Usage
fit_pupil_model_backend(
specification,
backend = c("rstan", "cmdstanr"),
chains = 4L,
iter = 2000L,
warmup = 1000L,
cores = min(2L, chains),
seed = 2026,
adapt_delta = 0.95,
max_treedepth = 12L,
refresh = 0L
)
Arguments
- specification
Approved pupil model specification.
- backend
"rstan" or "cmdstanr".
- chains, iter, warmup, cores, seed
Sampling controls. Package-controlled
cores are capped at two.
- adapt_delta, max_treedepth, refresh
Fixed safe sampling controls.
Value
A gp3bayes_pupil_fit.
Governance boundary
This interface accepts no arbitrary formula, family, Stan program,
inference algorithm, or unrestricted backend arguments. A returned fit does
not establish convergence, adequacy, predictive validity, or psychological
interpretation.
Examples
# See vignette("bayesian-dynamic-pupillometry", package = "gp3bayes") for a complete workflow.