brms: as.mcmc.brmsfit – R documentation

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as.mcmc.brmsfit

Extract posterior samples for use with the coda package

Extract posterior samples for use with the coda package

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

`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

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

Bayesian Regression Models using 'Stan'

v2.15.0

GPL-2

Authors

Paul-Christian Bürkner [aut, cre], Jonah Gabry [ctb], Sebastian Weber [ctb], Andrew Johnson [ctb], Martin Modrak [ctb]

Initial release

2021-03-10