stanfit
objectstanfit
object.## S3 method for class 'stanfit':
print(x, pars = x@sim$pars_oi,
probs = c(0.025, 0.25, 0.5, 0.75, 0.975),
digits_summary = 2, include = TRUE, ...)
stanfit
.include = FALSE
, then the specified parameters
are excluded from the printed summary."c(0.025,0.25,0.5,0.75,0.975)"
TRUE
) that indicates whether to
include or exclude the parameters named by the pars
argumentsummary
of stanfit
.stanfit
object (including warmup); which sampler of NUTS1, NUTS2, HMC is
used; and when the sampling is finished. The summary about parameters includes the mean, the standard error of the mean (se_mean), the standard deviation (sd), quantiles, the effective sample size (n_eff), and the split Rhat. The summary is computed based on merging samples without warmup iterations from all chains.
In addition to parameters, the log-posterior (lp__
) is also treated
like a parameter in the printout.
stanfit
and particularly its method
summary
, which is used to obtain the values that are printed out.