Fit a single model in a simulation study

This function fits a Bayesian model using a precompiled brms model object and calculates specified metrics on the fitted model.

Usage

fit_sim(
  prefit,
  dataset,
  data_gen_output,
  fit_conf,
  seed,
  debug,
  result_path,
  stan_pars,
  ...
)

Arguments

prefit: A precompiled brms model object from get_prefit
dataset: A data.frame containing the data to fit the model to
data_gen_output: Output from the data generation function containing true parameters
fit_conf: A list or data.frame row containing model configuration (formula, family, etc.)
seed: Random seed for reproducible model fitting
debug: Logical; if TRUE, saves intermediate results for debugging
result_path: Path where debug files should be saved
stan_pars: List of Stan/brms parameters (chains, iter, warmup, etc.)
...: Additional arguments passed to metric calculation functions

Value

A tibble containing calculated metrics for the fitted model

Examples

if (FALSE) { # \dontrun{
# This function is typically called internally by full_simulation()
# See full_simulation() examples for complete usage
} # }