Summary Method for KK Model

Computes and displays a summary of the results from a Kishor-Koenig (KK) model fit, including convergence status, information criteria, and parameter estimates.

Usage

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

Arguments

object

An object of class kk_model.

...

Additional arguments passed to or from other methods.

Value

The function returns the input object invisibly.

See also

Other revision nowcasting: jvn_nowcast(), kk_nowcast(), plot.jvn_model(), plot.kk_model(), print.jvn_model(), print.kk_model(), summary.jvn_model()

Examples

df <- get_nth_release(
  tsbox::ts_span(
    tsbox::ts_pc(
      dplyr::filter(reviser::gdp, id == "US")
    ),
    start = "1980-01-01"
  ),
  n = 0:1
)
df <- dplyr::select(df, -c("id", "pub_date"))
df <- na.omit(df)

e <- 1
h <- 2
result <- kk_nowcast(df, e, h = h, model = "Kishor-Koenig", method = "MLE")
summary(result)
#> 
#> === Kishor-Koenig Model ===
#> 
#> Convergence: Success 
#> Log-likelihood: -100.83 
#> AIC: 211.67 
#> BIC: 230.99 
#> 
#> Parameter Estimates:
#>  Parameter Estimate Std.Error
#>         F0    0.198     0.073
#>       G0_0    0.990     0.005
#>       G0_1    0.080     0.076
#>         v0    1.598     0.171
#>       eps0    0.007     0.001
#>