Summarize a Fitted DBN Model

Prints a structured summary of a fitted DBN model including data dimensions, posterior means and 95\ parameters, and model-specific details (e.g., transition matrix for HMM, block structure for piecewise, DIC for Gaussian models).

Usage

# S3 method for class 'dbn'
summary(object, ...)

Arguments

object

A fitted dbn object returned by dbn().

...

Additional arguments (currently unused).

Value

Invisibly returns object. The summary is printed to the console.

See also

dbn(), param_summary(), check_convergence(), plot_dbn()

Examples

# \donttest{
sim <- simulate_static_dbn(n = 8, time = 10, seed = 6886)
fit <- dbn(sim$Y, model = "static", nscan = 200, burn = 100, verbose = FALSE)
summary(fit)
#> 
#> ── Static Bilinear Network Model ───────────────────────────────────────────────
#> 
#> ── Dimensions 
#>   Nodes: 8
#>   Relations: 2
#>   Time points: 10
#> 
#> ── Parameter estimates (mean [95% CI]) 
#> s2: 1 [1, 1]
#> t2: 0.183 [0.098, 0.315]
#> g2: 53.044 [19.036, 100.586]
#> 
#> ── Settings 
#> family: ordinal
#> draws: 200
#> settings: 200, 100, and 1
# }