summary.Forecasts: Provides posterior summary of Forecasts

In bsvars: Bayesian Estimation of Structural Vector Autoregressive Models

Provides posterior summary of Forecasts

Description

Provides posterior summary of the forecasts including their mean, standard deviations, as well as 5 and 95 percentiles.

Usage

## 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.

Value

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.

Author(s)

Tomasz Woźniak [e-mail]

See Also

forecast

Examples

# upload data
data(us_fiscal_lsuw)

# specify the model and set seed
set.seed(123)
specification  = specify_bsvar$new(us_fiscal_lsuw)

# run the burn-in
burn_in        = estimate(specification, 10)

# estimate the model
posterior      = estimate(burn_in, 20)

# forecast
fore           = 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

bsvars documentation built on Oct. 24, 2024, 5:11 p.m.