Fit an Approved Hierarchical Lognormal Duration Model — fit_duration

Fits an approved strictly positive uncensored duration model using full MCMC through the fixed brms and rstan route.

Usage

fit_duration_model(
  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: A gp3bayes_duration_model_specification.
chains: Number of MCMC chains.
iter: Total iterations per chain.
warmup: Warmup iterations per chain.
cores: Processor cores, not exceeding chains.
seed: Non-negative integer seed.
adapt_delta: Target NUTS acceptance probability.
max_treedepth: Maximum NUTS tree depth.
refresh: Console progress refresh interval.

Value

A gp3bayes_duration_fit.

Details

The likelihood is fixed to lognormal, the link to identity on the mean-log parameter, the interface to brms, the backend to rstan, and the algorithm to full MCMC sampling. A returned fit does not establish convergence or posterior adequacy.