plot.bayesianVARs_fitted: Visualization of in-sample fit of an estimated VAR.

In bayesianVARs: MCMC Estimation of Bayesian Vectorautoregressions

Visualization of in-sample fit of an estimated VAR.

Description

Visualization of in-sample fit of an estimated VAR.

Usage

## S3 method for class 'bayesianVARs_fitted'
plot(
  x,
  dates = NULL,
  vars = "all",
  quantiles = c(0.05, 0.5, 0.95),
  n_col = 1L,
  ...
)

Arguments

x	A bayesianVARs_fitted object.
dates	optional vector of dates for labelling the x-axis. The default values is NULL; in this case, the axis will be labeled with numbers.
vars	character vector containing the names of the variables to be visualized. The default is "all" indicating that the fit of all variables is visualized.
quantiles	numeric vector indicating which quantiles to plot.
n_col	integer indicating the number of columns to use for plotting.
...	Currently ignored.

Value

returns x invisibly

See Also

• fitted method for class 'bayesianVARs_bvar': fitted.bayesianVARs_bvar().

• Other plotting plot.bayesianVARs_bvar(), plot.bayesianVARs_fitted(), plot.bayesianVARs_predict(), pairs.bayesianVARs_predict(), posterior_heatmap().

Examples

# Access a subset of the usmacro_growth dataset
data <- usmacro_growth[,c("GDPC1", "CPIAUCSL", "FEDFUNDS")]

# Estimate a model
mod <- bvar(data, sv_keep = "all", quiet = TRUE)

# Simulate predicted historical values including the error term.
pred <- fitted(mod, error_term = TRUE)

# Visualize
plot(pred)

bayesianVARs documentation built on April 3, 2025, 6:25 p.m.