Plot a Mixed-Frequency Model — plot.mf

Visualize a fitted mf_model() object either as an in-sample fit or as a forecast with prediction intervals.

Usage

# S3 method for class 'mf_model'
plot(
  x,
  type = c("fit", "forecast"),
  level = 95,
  history_n = 50,
  xlab = NULL,
  ylab = NULL,
  main = NULL,
  ...
)

Arguments

x: A "mf_model" object returned by mf_model().
type: Plot type. Use "forecast" to plot the observed target history together with the bridge forecast, or "fit" to compare the observed target to the in-sample fitted values.
level: Forecast interval level passed to forecast.mf_model() when type = "forecast".
history_n: Number of historical target observations to display. Defaults to the most recent 50. Set to NULL to show the full history.
xlab, ylab, main: Optional axis and title labels. When omitted, sensible defaults are chosen from type.
...: Additional arguments passed to theme_bridgr().

Value

A ggplot2 object.

Examples

gdp_growth <- tsbox::ts_pc(gdp)
#> [value]: 'values' 
#> [value]: 'values' 
gdp_growth <- tsbox::ts_na_omit(gdp_growth)
#> [value]: 'values' 
model <- mf_model(
  target = gdp_growth,
  indic = baro,
  indic_predict = "auto.arima",
  indic_aggregators = "mean",
  h = 1
)

plot(model)