# upload data
data(us_fiscal_lsuw)
# specify the model and set seed
set.seed(123)
specification = specify_bsvar_t$new(us_fiscal_lsuw, p = 1)
# run the burn-in
burn_in = estimate(specification, 10)
# estimate the model
posterior = estimate(burn_in, 20)
# compute draws from in-sample predictive density
fitted = compute_fitted_values(posterior)
# workflow with the pipe |>
############################################################
set.seed(123)
us_fiscal_lsuw |>
specify_bsvar_t$new(p = 1) |>
estimate(S = 10) |>
estimate(S = 20) |>
compute_fitted_values() -> fitted
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