running.bootstrap: Running boostrap experiments
In Sondre91/STGARCH: STGARCH

This function is used to run boostrap experiments.

running.bootstrap(true_param = c(p1 <- sample(1:50, 1)/100,
  sample(1:floor((0.9 - p1) * 100/9), 1)/100), N = 100, M = 100,
  burnin = 200, cutoff = 100, dim = c(30, 30, 200),
  ncores = doParallel::detectCores() - 1, n.iterations = 30, print = TRUE)

`true_param`	Numeric, Parameter vector, consiting of α_0 and α_1. Default value draws random parameter vector well within the stationary region.
`N`	Integer, number of Monte Carlo repetitions of bootstrap experiment.
`M`	Integer, number of Boostrap replicas made per Monte Carlo repetition.
`burnin`	Integer, size of temporal burnin
`cutoff`	Integer, number of spatial points to be "cut off" in each spatial direction in order to make the simulated process non-circular. If `cutoff=0`, the process is circular.
`dim`	Numeric vector of length 3, indicating dimension size on form spatial1 x spatial2 x temporal
`ncores`	Integer, number of parallel processors to be used.
`n.iterations`	Integer, maximum number of iterations in the maximazation routine.
`print`	Logical, indicating if reports should be printed.