Plot Kishor-Koenig Model Results

Plot filtered or smoothed estimates for a selected state from a fitted kk_model.

Usage

# S3 method for class 'kk_model'
plot(x, state = NULL, type = "filtered", ...)

Arguments

x

An object of class kk_model.

state

Character scalar giving the state to visualize. If NULL, the first available state is used.

type

Character scalar indicating whether "filtered" or "smoothed" estimates should be plotted.

...

Additional arguments passed to plot.revision_model().

Value

A ggplot2 object visualizing the specified state estimates.

Details

This method requires x$states to be available. If the model was fitted with solver_options$return_states = FALSE, plotting is not possible.

See also

Other revision nowcasting: jvn_nowcast(), kk_nowcast(), plot.jvn_model(), print.jvn_model(), print.kk_model(), summary.jvn_model(), summary.kk_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 # Number of efficient release
h <- 2 # Forecast horizon
result <- kk_nowcast(df, e, h = h, model = "Kishor-Koenig")

plot(result)