This function generates a random parameter vector to be used as initial values for a Markov-switching vector autoregressive model.
initVals_MSVARmdl(mdl, k)
Vector of initial parameter values.
List with parameter values of simple (one-regime) vector autoregressive model. This includes:
phi: Matrix autoregressive coefficients.
mu: Vector of means.
sigma: Covariance matrix.
msmu: Boolean indicator. If TRUE
, mean is function of markov process. If FALSE
, mean is constant across regimes.
msvar: Boolean indicator. If TRUE
, standard deviation is function of markov process. If FALSE
, standard deviation is constant across regimes.
Number of regimes.