Provides posterior summary of the forecasts including their mean, standard deviations, as well as 5 and 95 percentiles.
## S3 method for class 'Forecasts'summary(object,...)
Arguments
object: an object of class Forecasts obtained using the forecast() function containing draws the predictive density.
...: additional arguments affecting the summary produced.
Returns
A list reporting the posterior mean, standard deviations, as well as 5 and 95 percentiles of the forecasts for each of the variables and forecast horizons.
Examples
# upload datadata(us_fiscal_lsuw)# specify the model and set seedset.seed(123)specification = specify_bsvar$new(us_fiscal_lsuw)# run the burn-inburn_in = estimate(specification,10)# estimate the modelposterior = estimate(burn_in,20)# forecastfore = forecast(posterior, horizon =2)fore_summary = summary(fore)# workflow with the pipe |>############################################################set.seed(123)us_fiscal_lsuw |> specify_bsvar$new()|> estimate(S =10)|> estimate(S =20)|> forecast(horizon =2)|> summary()-> fore_summary