as.mcmc.brmsfit: (Deprecated) Extract posterior samples for use with the...

In brms: Bayesian Regression Models using 'Stan'

(Deprecated) Extract posterior samples for use with the coda package

Description

The as.mcmc method is deprecated. We recommend using the more modern and consistent as_draws_* extractor functions of the posterior package instead.

Usage

## S3 method for class 'brmsfit'
as.mcmc(
  x,
  pars = NA,
  fixed = FALSE,
  combine_chains = FALSE,
  inc_warmup = FALSE,
  ...
)

Arguments

x	An R object typically of class brmsfit
pars	Names of parameters for which posterior samples should be returned, as given by a character vector or regular expressions. By default, all posterior samples of all parameters are extracted.
fixed	Indicates whether parameter names should be matched exactly (TRUE) or treated as regular expressions (FALSE). Default is FALSE.
combine_chains	Indicates whether chains should be combined.
inc_warmup	Indicates if the warmup samples should be included. Default is FALSE. Warmup samples are used to tune the parameters of the sampling algorithm and should not be analyzed.
...	currently unused

Value

If combine_chains = TRUE an mcmc object is returned. If combine_chains = FALSE an mcmc.list object is returned.

brms documentation built on Sept. 23, 2024, 5:08 p.m.