This function creates a grid of mean and variance consistent with a Markov-switching autoregressive model.
argrid_MSARmdl(mu, sig, k, ar, msmu, msvar)
List with (M x ar+1
) matrix of means for each regime M
(where M = k^(ar+1)
) and each time t,... t-ar
, vector with variance for each regime M
, and vector indicating the corresponded 1,..., k
regime.
vector (k x 1
) of mu in each regime.
vector (k x 1
) of sigma in each regime.
integer determining the number of regimes.
number of autoregressive lags.
Boolean indicator. If TRUE
mean is subject to change. If FALSE
mean is constant across regimes.
Boolean indicator. If TRUE
variance is subject to change. If FALSE
variance is constant across regimes.