Simulates data from the graphical VAR model, see graphicalVAR
for details.
graphicalVARsim(nTime, beta, kappa, mean = rep(0, ncol(kappa)), init =
mean, warmup = 100, lbound = rep(-Inf, ncol(kappa)),
ubound = rep(Inf, ncol(kappa)))
A matrix containing the simulated data.
Number of time points to sample
The Beta matrix to use
The Kappa matrix to use
Means to use
Initial values
The amount of samples to use as warmup (not returned)
Lower bound, at every time point values below this bound are set to the bound.
Upper bound, at every time point values above this bound are set to the bound.
Sacha Epskamp <mail@sachaepskamp.com>