Fit an optional Bayesian AOI model with brms — fit_gazepoint_aoi

Prepare and optionally fit a Bayesian AOI model using brms. The dependency is optional: the function checks for brms only when dry_run = FALSE. Tests and lightweight workflows can use dry_run = TRUE to inspect the formula and data without running Stan.

Usage

fit_gazepoint_aoi_brms(
  data,
  response,
  predictors,
  subject_col = NULL,
  family = "bernoulli",
  prior = NULL,
  dry_run = TRUE,
  ...
)

Arguments

data: A data frame.
response: Response column.
predictors: Character vector of fixed-effect predictors.
subject_col: Optional grouping column for a random intercept.
family: brms family specification as a character string.
prior: Optional brms prior object.
dry_run: If TRUE, return the prepared call components without fitting.
...: Additional arguments passed to brms::brm() when fitting.

Value

A dry-run specification list or a brmsfit object.