Fit a Binary Model with a Selected Full-MCMC Backend — fit_binary_model

The formula and family remain contract-restricted. The only selectable implementation detail is whether brms delegates full MCMC sampling to rstan or CmdStanR.

Usage

fit_binary_model_backend(
  specification,
  backend = c("rstan", "cmdstanr"),
  chains = 4L,
  iter = 2000L,
  warmup = 1000L,
  cores = .gp3b_default_cores(chains),
  seed = 1L,
  adapt_delta = 0.95,
  max_treedepth = 12L,
  refresh = 0L
)

fit_binary_model_cmdstanr(
  specification,
  chains = 4L,
  iter = 2000L,
  warmup = 1000L,
  cores = .gp3b_default_cores(chains),
  seed = 1L,
  adapt_delta = 0.95,
  max_treedepth = 12L,
  refresh = 0L
)

Arguments

specification: An approved binary model specification.
backend: Either "rstan" or "cmdstanr".
chains: Number of chains.
iter: Total iterations per chain.
warmup: Warmup iterations per chain.
cores: Number of cores, not exceeding chains.
seed: Non-negative integer seed.
adapt_delta: NUTS target acceptance probability.
max_treedepth: NUTS maximum tree depth.
refresh: Progress refresh interval.

Value

A gp3bayes_backend_portable_fit.