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
bvarnetobject returned bybvar.- bayes_factor
Logical; if
TRUE, append Savage-Dickey BF columns. DefaultFALSE.- 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.