This function simulates a Markov-switching autoregressive process.
simuMSAR_cpp(mdl_h0, burnin = 100L)
List with simulated Markov-switching autoregressive process and its DGP properties.
List containing the following DGP parameters
n: Length of series.
k: Number of regimes.
mu: A (k x 1
) vector with mean of process in each regime.
sigma: A (k x 1
) vector with variance of process in each regime.
phi: Vector of autoregressive coefficients.
P: A (k x k
) transition matrix (columns must sum to one).
eps: An optional (T+burnin x q
) matrix with standard normal errors to be used. Errors will be generated if not provided.
Number of simulated observations to remove from beginning. Default is 100
.