autoplot.predbvhar: Plot Forecast Result

In bvhar: Bayesian Vector Heterogeneous Autoregressive Modeling

Plot Forecast Result

Description

Plots the forecasting result with forecast regions.

Usage

## S3 method for class 'predbvhar'
autoplot(
  object,
  type = c("grid", "wrap"),
  ci_alpha = 0.7,
  alpha_scale = 0.3,
  x_cut = 1,
  viridis = FALSE,
  viridis_option = "D",
  NROW = NULL,
  NCOL = NULL,
  ...
)

## S3 method for class 'predbvhar'
autolayer(object, ci_fill = "grey70", ci_alpha = 0.5, alpha_scale = 0.3, ...)

Arguments

object	A predbvhar object
type	Divide variables using ggplot2::facet_grid() ("grid": default) or ggplot2::facet_wrap() ("wrap")
ci_alpha	Transparency of CI
alpha_scale	Scale of transparency parameter (alpha) between the two layers. alpha of CI ribbon = alpha_scale * alpha of path (By default, .5)
x_cut	plot x axes from x_cut for visibility
viridis	If TRUE, scale CI and forecast line using ggplot2::scale_fill_viridis_d() and ggplot2::scale_colour_viridis_d, respectively.
viridis_option	Option for viridis string. See option of ggplot2::scale_colour_viridis_d. Choose one of c("A", "B", "C", "D", "E"). By default, D.
NROW	nrow of ggplot2::facet_wrap()
NCOL	ncol of ggplot2::facet_wrap()
...	additional option for ggplot2::geom_path()
ci_fill	color of CI

Value

A ggplot object

A ggplot layer

bvhar documentation built on April 4, 2025, 5:22 a.m.