BVAR (version 0.2.2)

plot.bvar: Plotting method for Bayesian VARs

Description

Method to plot trace and densities of hyperparameters and marginal likelihood or coefficient values obtained from bvar. Plots may be subset to certain types using type and to hyperparameters using vars. Multiple chains, that is comparable bvar objects, may be plotted together using the chains argument. The type argument may be used to access plot.bvar_irf and plot.bvar_fcast.

Usage

# S3 method for bvar
plot(
  x,
  type = c("full", "trace", "density", "irf", "fcast"),
  vars = NULL,
  vars_response = NULL,
  vars_impulse = NULL,
  chains = list(),
  mar = c(2, 2, 2, 0.5),
  ...
)
bv_plot(x, mar = c(2, 2, 2, 0.5), ...)

Arguments

x

A bvar object, obtained from bvar.

type

A string with the type of plot desired. The standard method "full" includes both density and trace plots.

vars

Optional character vector used to subset the plot. The elements need to match the names of hyperparameters (plus "ml"). Defaults to NULL, i.e. all hyperparameters.

vars_response, vars_impulse

Optional integer vector with the positions of coefficient values used to subset the plot. vars_response corresponds to a specific dependent variable, vars_impulse to an independent one. Note that the constant is found at position one.

chains

List with additional bvar objects. Contents are then added to trace and density plots.

mar

Numeric vector. Margins for par.

...

Other graphical parameters for par.

Value

Returns x invisibly.

See Also

bvar; plot.bvar_fcast; plot.bvar_irf.

Examples

# NOT RUN {
data <- matrix(rnorm(200), ncol = 2)
x <- bvar(data, lags = 2, irf = bv_irf(), fcast = bv_fcast())
y <- bvar(data, lags = 2)

# Plot full traces and densities
plot(x)

# Compare with second chain
plot(x, chains = y)

# Only plot the marginal likelihood's density
plot(x, "dens", "ml")

# Use plot as an alternative to plot(irf(x)) and plot(predict(x))
plot(x, "irf")
plot(x, "fcast", vars = 2)
# }