Computes posterior draws from data predictive density
Source:R/compute.R
compute_fitted_values.PosteriorBSVARSIGN.Rd
Each of the draws from the posterior estimation of models from packages bsvars or bsvarSIGNs is transformed into a draw from the data predictive density.
Value
An object of class PosteriorFitted
, that is, an NxTxS
array with attribute PosteriorFitted
containing S
draws from
the data predictive density.
Author
Xiaolei Wang adamwang15@gmail.com and Tomasz Woźniak wozniak.tom@pm.me
Examples
# upload data
data(optimism)
# specify the model and set seed
set.seed(123)
# + no effect on productivity (zero restriction)
# + positive effect on stock prices (positive sign restriction)
sign_irf = matrix(c(0, 1, rep(NA, 23)), 5, 5)
specification = specify_bsvarSIGN$new(optimism, sign_irf = sign_irf)
# estimate the model
posterior = estimate(specification, 10)
#> **************************************************|
#> bsvarSIGNs: Bayesian Structural VAR with sign, |
#> zero and narrative restrictions |
#> **************************************************|
#> Progress of simulation for 10 independent draws
#> Press Esc to interrupt the computations
#> **************************************************|
# compute draws from in-sample predictive density
fitted = compute_fitted_values(posterior)
# workflow with the pipe |>
############################################################
set.seed(123)
optimism |>
specify_bsvarSIGN$new(sign_irf = sign_irf) |>
estimate(S = 20) |>
compute_fitted_values() -> fitted
#> **************************************************|
#> bsvarSIGNs: Bayesian Structural VAR with sign, |
#> zero and narrative restrictions |
#> **************************************************|
#> Progress of simulation for 20 independent draws
#> Press Esc to interrupt the computations
#> **************************************************|