plot_cond_forc: plot_cond_forc function; Data should conatain the variable...

In APRScenario: Structural Scenario Analysis for Bayesian Structural Vector Autoregression Models

plot_cond_forc function; Data should conatain the variable "variable", the "hor" horizon and a "history"

Description

plot_cond_forc function; Data should conatain the variable "variable", the "hor" horizon and a "history"

Usage

plot_cond_forc(
  varbl2plot = NULL,
  y_h_cond = NULL,
  center = 0.5,
  lower = 0.16,
  upper = 0.84,
  T.start = NULL,
  T.end = NULL,
  before = 8,
  freq = "quarter",
  y_data = NULL
)

Arguments

varbl2plot	name of variable to be plotted (string)
y_h_cond	conditional forecast data frame (eg from SimScen) with names c("hor","variable","lower","center","upper"): hor is a Date object
center	(optional, default 0.5) quantile of the mid value
lower	(optional, default 0.16) quantile of lower range
upper	(optional, default 0.84) quantile of upper range
T.start	start date of the forecast
T.end	end of the forecast
before	(integer: optional) periods of data in the plot: default 8 periods
freq	(optional, default 'quarter') frequency of the data (eg 'quarter' or 'month')
y_data	Data used in the estimation eg t(specification$get_data_matrices()$Y) %>% as.data.frame(); true_data$hor=dates

Value

list of plot and data used

Examples

## Not run: 
# Example usage with conditional forecast data
plot_result <- plot_cond_forc(varbl2plot = "GDP", 
                              y_h_cond = forecast_data,
                              T.start = as.Date("2023-01-01"),
                              T.end = as.Date("2024-01-01"),
                              y_data = historical_data)

## End(Not run)

APRScenario documentation built on Dec. 22, 2025, 1:06 a.m.