Fit an optional brms model for Gazepoint-derived data — fit_gazepoint_brms_model • gp3tools

Fits a Bayesian model using brms when brms is installed. brms is treated as an optional external backend; gp3tools does not import or require it.

Usage

fit_gazepoint_brms_model(
  data,
  formula,
  family = "gaussian",
  prior = NULL,
  chains = 4,
  iter = 2000,
  warmup = floor(iter/2),
  cores = 1,
  backend = NULL,
  ...
)

Arguments

data: A data frame.
formula: A model formula.
family: brms family specification as a character string or brms family object.
prior: Optional brms prior specification.
chains: Number of MCMC chains.
iter: Total iterations per chain.
warmup: Warmup iterations per chain.
cores: Number of cores.
backend: Optional brms backend, e.g. "cmdstanr".
...: Additional arguments passed to brms::brm().

Value

A fitted brms model.