Set conjugate N-IW priors as in matlab code of Koops-Korobilis
KK_code_priors(Y_in, Z_in = NULL, constant = TRUE, p = 4)
Y_in | multivariate time series |
---|---|
Z_in | exogeneous variables |
constant | logical, default is TRUE, whether the constant should be included |
p | number of lags |
priors list containing Phi_prior [k x m], Omega_prior [k x k], S_prior [m x m], v_prior [1x1], where k = mp+d
Set conjugate N-IW priors as in matlab code of Koops-Korobilis. Mainly for testing.
data(Yraw) priors <- KK_code_priors(Yraw, p = 4) model <- bvar_conjugate0(priors = priors, keep = 100)