Nothing
set.seed(123)
# Define DGP of MS VAR process
mdl_msvar2 <- list(n = 200,
p = 1,
q = 2,
mu = rbind(c(5, -2),
c(10, 2)),
sigma = list(rbind(c(5.0, 1.5),
c(1.5, 1.0)),
rbind(c(7.0, 3.0),
c(3.0, 2.0))),
phi = rbind(c(0.50, 0.30),
c(0.20, 0.70)),
k = 2,
P = rbind(c(0.90, 0.10),
c(0.10, 0.90)))
# Simulate process using simuMSVAR() function
y_msvar_simu <- simuMSVAR(mdl_msvar2)
# Set options for model estimation
control <- list(msmu = TRUE,
msvar = TRUE,
method = "EM",
use_diff_init = 1)
# Estimate model
\donttest{
y_msvar_mdl <- MSVARmdl(y_msvar_simu$y, p = 1, k = 2, control = control)
summary(y_msvar_mdl)
}
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