spTimer (version 2.0-0)

spT.priors: Priors for the spatio-temporal models.

Description

This command is useful to assign the hyper-parameters of the prior distributions.

Usage

spT.priors(model="GP", inv.var.prior=Gamm(a=2,b=1),
  beta.prior=Norm(0,10^10), rho.prior=Norm(0,10^10))

Arguments

model

The spatio-temporal models, current input: "GP", "AR", and "GPP".

inv.var.prior

The hyper-parameter for the Gamma prior distribution (with mean = a/b) of the precision (inverse variance) model parameters (e.g., 1/$\sigma$2_$\epsilon$, 1/$\sigma$2_$\eta$).

beta.prior

The hyper-parameter for the Normal prior distribution of the $\beta$ model parameters.

rho.prior

The hyper-parameter for the Normal prior distribution of the $\rho$ model parameter.

See Also

spT.Gibbs, predict.spT, spT.initials.

Examples

## 

priors<-spT.priors(model="GPP",inv.var.prior=Gamm(2,1),
      beta.prior=Norm(0,10^4))
priors

##