Auxiliary function for dzim fitting. Typically only used internally by dzim.fit, but may be used to construct a control argument for either function.
dzim.control(dist = c("poisson","nb","zip","zinb"), trace =FALSE, start =NULL, order =1, mu0 = rep(0, order), Sigma0 = diag(1, order), N =1000, R =1000, niter =500)
Arguments
dist: count model family
trace: logical; if TRUE, display iteration history.
start: initial parameter values.
order: autoregressive order.
mu0: mean vector for initial state.
Sigma0: covariance matrix for initial state.
N: number of particiles in particle filtering.
R: number of replications in particle smoothing.
niter: number of iterations.
Note
The default values of N, R, and niter are chosen based on our experience. In some cases, N = 500, R = 500, and niter = 200 might be sufficient. The dzim.plot function should always be used for convergence diagnostics.