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Returns a labelled posterior summary table grouped by parameter type, with convergence diagnostics and optional Bayes factors. Wraps extract_param.

Usage

# S3 method for class 'bvarnet'
summary(object, bayes_factor = FALSE, null_value = 0, ...)

Arguments

object

A bvarnet object returned by bvar.

bayes_factor

Logical; if TRUE, append Savage-Dickey BF columns. Default FALSE.

null_value

Numeric scalar; null hypothesis value for BF computation. Default 0.

...

Ignored.

Value

An object of class "summary.bvarnet" (a list) with elements:

table

Data frame from extract_param().

family

Model family.

p

Number of outcome variables.

K

AR order.

n

Number of observations.

rhat_max

Maximum Rhat across all parameters.

n_divergences

Total divergent transitions.