Simulates a bivariate trawl process
sim_BivariateTrawl(
t,
Delta = 1,
burnin = 10,
marginal = base::c("Poi", "NegBin"),
dependencetype = base::c("fullydep", "dep"),
trawl1 = base::c("Exp", "DExp", "supIG", "LM"),
trawl2 = base::c("Exp", "DExp", "supIG", "LM"),
v1 = 0,
v2 = 0,
v12 = 0,
kappa1 = 0,
kappa2 = 0,
kappa12 = 0,
a1 = 0,
a2 = 0,
lambda11 = 0,
lambda12 = 0,
w1 = 0,
delta1 = 0,
gamma1 = 0,
alpha1 = 0,
H1 = 0,
lambda21 = 0,
lambda22 = 0,
w2 = 0,
delta2 = 0,
gamma2 = 0,
alpha2 = 0,
H2 = 0
)
parameter which specifying the length of the time interval \([0,t]\) for which a simulation of the trawl process is required.
parameter \(\Delta\) specifying the length of the time step, the default is 1
parameter specifying the length of the burn-in period at the beginning of the simulation
parameter specifying the marginal distribution of the trawl
Parameter specifying the type of dependence
parameter specifying the type of the first trawl function
parameter specifying the type of the second trawl function
parameters of the Poisson distribution
parameters of the (possibly bivariate) negative binomial distribution
parameters of the exponential (or double-exponential) trawl function of the first process
parameters of the supIG trawl function of the first process
parameter of the long memory trawl of the first process
parameters of the exponential (or double-exponential) trawl function of the second process
parameters of the supIG trawl function of the second process
parameter of the long memory trawl of the second process
This function simulates a bivariate trawl process with either Poisson or negative binomial marginal law. For the trawl function there are currently four choices: exponential, double-exponential, supIG or long memory. More details on the precise simulation algorithm is available in the vignette.