Create [m x 1] vector of sigma^2 from supplied time series
bvar_conj_sigma2(Y_in, s2_lag = 1, carriero_hack = FALSE)
| Y_in | multivariate time series | 
|---|---|
| s2_lag | number of lags to estimate sigma^2 | 
| carriero_hack | logical, if TRUE sigma^2 will be estimated using biased estimator and supposed error with no square roots in dummy observations will be reproduced FALSE by default | 
[m x 1] vector of sigmas^2
Create [m x 1] vector of sigma^2 from supplied time series
data(Yraw) sigma2 <- bvar_conj_sigma2(Yraw)