Print basic information regarding the fitted model and
a summary for the parameters of interest estimated by the samples included
in a `stanfit`

object.

# S3 method for 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, ...)

## Arguments

x |
An object of S4 class `stanfit` . |

pars |
A character vector of parameter names. The default is all parameters
for which samples are saved. If `include = FALSE` , then the specified parameters
are excluded from the printed summary. |

probs |
A numeric vector of quantiles of interest. The default is
`c(0.025,0.25,0.5,0.75,0.975)` . |

digits_summary |
The number of significant digits to use when printing
the summary, defaulting to 2. Applies to the quantities other than
the effective sample size, which is always rounded to the nearest integer. |

include |
Logical scalar (defaulting to `TRUE` ) indicating whether to
include or exclude the parameters named by the `pars` argument. |

... |
Additional arguments passed to the `summary` method
for `stanfit` objects. |

## Details

The information regarding the fitted model includes the number of iterations,
the number of chains, the total number of saved iterations,
the estimation algorithm used, and the timestamp indicating when
sampling finished.

The parameter summaries computed include means, standard deviations (sd),
quantiles, Monte Carlo standard errors (se_mean), split Rhats, and
effective sample sizes (n_eff). The summaries are computed after dropping
the warmup iterations and merging together the draws from all chains.

In addition to the model parameters, summaries for the
log-posterior (`lp__`

) are also reported.

## See also

S4 class `stanfit`

and particularly its method
`summary`

, which is used to obtain the
values that are printed.