fitting_specification: Fitting specification

In RoBMA: Robust Bayesian Meta-Analyses

Fitting specification

Description

The brma family of functions uses the following arguments to specify the MCMC sampling and fitting settings.

Arguments

sample	numeric. Number of MCMC samples to save. Defaults to 5000.
burnin	numeric. Number of burn-in iterations. Defaults to 2000.
adapt	numeric. Number of adaptation iterations. Defaults to 500.
chains	numeric. Number of MCMC chains. Defaults to 3.
thin	numeric. Thinning interval. Defaults to 1.
parallel	logical. Whether to run MCMC chains in parallel. Defaults to FALSE.
autofit	logical. Whether to automatically extend the MCMC chains if convergence is not met. Defaults to FALSE.
autofit_control	list of autofit control settings. See set_autofit_control() for details.
convergence_checks	list of convergence check settings. See set_convergence_checks() for details.
seed	numeric. Random seed for reproducibility. Defaults to NULL.
silent	logical. Whether to suppress output. Constructors with no explicit default use RoBMA.get_option("silent") when silent is omitted. Model-averaging wrappers default to TRUE unless explicitly changed.
...	additional advanced arguments. Fitting functions reject unused arguments; currently recognized internal arguments include only_data, only_priors, is_JASP, and is_JASP_prefix.

See Also

brma, set_autofit_control, set_convergence_checks

RoBMA documentation built on May 7, 2026, 5:08 p.m.