summary.PosteriorHD: Provides posterior summary of historical decompositions

In bsvars: Bayesian Estimation of Structural Vector Autoregressive Models

Provides posterior summary of historical decompositions

Description

Provides posterior means of the historical decompositions variable by variable.

Usage

## S3 method for class 'PosteriorHD'
summary(object, ...)

Arguments

object	an object of class PosteriorHD obtained using the compute_historical_decompositions() function containing posterior draws of historical decompositions.
...	additional arguments affecting the summary produced.

Value

A list reporting the posterior means of historical decompositions for each of the variables.

Author(s)

Tomasz Woźniak [e-mail]

See Also

compute_historical_decompositions

Examples

# upload data
data(us_fiscal_lsuw)

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

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

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

# compute historical decompositions
hds            = compute_historical_decompositions(posterior)
hds_summary    = summary(hds)

# workflow with the pipe |>
############################################################
set.seed(123)
diff(us_fiscal_lsuw) |>
  specify_bsvar$new() |>
  estimate(S = 10) |> 
  estimate(S = 20) |> 
  compute_historical_decompositions() |>
  summary() -> hds_summary

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