logLik.revision_model: Extract the Log-Likelihood of a Revision Model

In reviser: Analyzing Revisions in Real-Time Time Series Vintages

Extract the Log-Likelihood of a Revision Model

Description

The returned object carries the degrees of freedom and effective number of observations used by the model, so stats::AIC() and stats::BIC() reproduce the values reported by summary().

Usage

## S3 method for class 'revision_model'
logLik(object, ...)

Arguments

object	A fitted model object inheriting from revision_model, such as a kk_model or a jvn_model.
...	Ignored.

Value

An object of class logLik.

See Also

Other revision nowcasting: coef.revision_model(), fitted.revision_model(), jvn_nowcast(), kk_nowcast(), nobs.revision_model(), plot.revision_model(), predict.revision_model(), print.revision_model(), residuals.revision_model(), revision_model, states(), summary.revision_model(), vcov.revision_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 <- na.omit(dplyr::select(df, -c("id", "pub_date")))
fit <- kk_nowcast(df, e = 1, model = "KK", method = "MLE")
logLik(fit)
AIC(fit)
BIC(fit)

reviser documentation built on Sept. 14, 2026, 9:09 a.m.