spTDyn (version 1.0)

priors: Priors for the spatio-temporal models.

Description

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

Usage

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

Arguments

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

GibbsDyn, initials.

Examples

# NOT RUN {
## 

priors<-priors(var.prior=Gam(2,1), beta.prior=Nor(0,10^4))
priors

##
# }