Fitter implementation for brms models. Extends the abstract Fitter class with brms-specific configuration properties.
Usage
BrmsFitter(
name = character(0),
supports_predictions = TRUE,
supports_log_lik = TRUE,
supports_loo = TRUE,
backend = "cmdstanr",
chains = 4L,
iter = 2000L,
warmup = 1000L,
thin = 1L,
refresh = 0L,
silent = 2L,
cores = 1L
)Arguments
- name
Character string identifying the fitter (inherited from Fitter)
- supports_predictions
Logical indicating if predictions are supported (inherited)
- supports_log_lik
Logical indicating if log-likelihood is supported (inherited)
- supports_loo
Logical indicating if LOO-CV is supported (inherited)
- backend
Character string for Stan backend ("cmdstanr" or "rstan")
- chains
Integer number of MCMC chains
- iter
Integer total iterations per chain
- warmup
Integer warmup iterations per chain
- thin
Integer thinning interval
- refresh
Integer refresh rate for progress output
- silent
Integer verbosity level (0, 1, or 2)
- cores
Integer number of cores for parallel processing