Plot ranked event-window shock contributions

Usage

plot_shock_ranking(
  object,
  start = NULL,
  end = start,
  variables = NULL,
  models = NULL,
  ranking = c("absolute", "signed"),
  top_n = NULL,
  probability = 0.9,
  ...
)

Arguments

object: A posterior model object, PosteriorHD, or tidy shock-ranking table.
start: First time index to include when object is not already a shock ranking table.
end: Last time index to include. Defaults to start.
variables: Optional variable filter.
models: Optional model filter.
ranking: One of "absolute" or "signed".
top_n: Optional number of top-ranked shocks to keep per model-variable panel.
probability: Equal-tailed interval probability.
...: Additional arguments passed to shock_ranking().

Value

A ggplot object.

Examples

data(us_fiscal_lsuw, package = "bsvars")
spec <- bsvars::specify_bsvar$new(us_fiscal_lsuw, p = 1)
#> The identification is set to the default option of lower-triangular structural matrix.
post <- bsvars::estimate(spec, S = 5, show_progress = FALSE)

p <- plot_shock_ranking(post, start = "1948.25", end = "1948.5")