summary.brmsfit {brms} | R Documentation |
brmsfit
objectCreate a summary of a fitted model represented by a brmsfit
object
## S3 method for class 'brmsfit' summary( object, priors = FALSE, prob = 0.95, robust = FALSE, mc_se = FALSE, ... )
object |
An object of class |
priors |
Logical; Indicating if priors should be included
in the summary. Default is |
prob |
A value between 0 and 1 indicating the desired probability to be covered by the uncertainty intervals. The default is 0.95. |
robust |
If |
mc_se |
Logical; Indicating if the uncertainty caused by the
MCMC sampling should be shown in the summary. Defaults to |
... |
Other potential arguments |
The convergence diagnostics Rhat
, Bulk_ESS
, and
Tail_ESS
are described in detail in Vehtari et al. (2020).
Aki Vehtari, Andrew Gelman, Daniel Simpson, Bob Carpenter, and Paul-Christian Bürkner (2020). Rank-normalization, folding, and localization: An improved R-hat for assessing convergence of MCMC. *Bayesian Analysis*. 1–28. dpi:10.1214/20-BA1221