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This command is useful to assign the initial values of the hyper-parameters of the prior distributions.
spT.initials(model, sig2eps=0.01, sig2eta=NULL, rho=NULL, beta=NULL, phi=NULL)
The spatio-temporal models, current options are: "GP", "AR", and "GPP".
Initial value for the parameter \(\sigma\)^2_\(\epsilon\).
Initial value for the parameter \(\sigma\)^2_\(\eta\).
Initial value for the parameter \(\rho\).
Initial value for the parameter \(\beta\).
Initial value for the parameter \(\phi\).
spT.Gibbs, predict.spT, spT.priors.
spT.Gibbs, predict.spT, spT.priors
## initials<-spT.initials(model="GPP", sig2eps=0.01, sig2eta=0.5, beta=NULL, phi=0.001) initials ##
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