Creates grid of means and covariance matrices consistent with a Markov-switching vector autoregressive model.
argrid_MSVARmdl(mu, sigma, k, ar, msmu, msvar)
Arguments
mu: a (k x q) matrix of means in each regime (for k regimes and q time series).
sigma: list with k regime specific (q x q) covariance matrices.
k: integer determining the number of regimes.
ar: number of autoregressive lags.
msmu: Boolean indicator. If TRUE mean is subject to change. If FALSE mean is constant across regimes.
msvar: Boolean indicator. If TRUE variance is subject to change. If FALSE variance is constant across regimes.
Returns
List with M regime specific (q x k) matrices of means, List with M regime specific covariance matrices, and vector indicating the corresponded 1,..., k regime.