summary.PosteriorBSVARMIX {bsvars}

Provides posterior summary of non-normal Structural VAR estimation

Description

Provides posterior mean, standard deviations, as well as 5 and 95 percentiles of the parameters: the structural matrix B, autoregressive parameters A, and hyper parameters.

Usage

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

Arguments

object

an object of class PosteriorBSVARMIX obtained using the estimate() function applied to non-normal Bayesian Structural VAR model specification set by function specify_bsvar_mix$new() containing draws from the posterior distribution of the parameters.

...

additional arguments affecting the summary produced.

Value

A list reporting the posterior mean, standard deviations, as well as 5 and 95 percentiles of the parameters: the structural matrix B, autoregressive parameters A, and hyper-parameters.

Author(s)

Tomasz Woźniak [e-mail]

See Also

estimate, specify_bsvar_mix

Examples

# upload data
data(us_fiscal_lsuw)

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

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

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

# workflow with the pipe |>
############################################################
set.seed(123)
us_fiscal_lsuw |>
  specify_bsvar_mix$new() |>
  estimate(S = 10) |> 
  estimate(S = 20) |> 
  summary()