sample.prior: Sample the prior distribution
In rundel/geoR: Analysis of Geostatistical Data

Description Usage Arguments Value Author(s) References See Also Examples

Sample quadruples (beta, sigma^2, phi, tau^2.rel) from the prior distribution of parameters specifying a Gaussian random field. Typically the prior is specified in the same manner as when calling krige.bayes.

1	sample.prior(n, kb.obj=NULL, prior=prior.control())

`n`	number of samples
`kb.obj`	on object with an output of `krige.bayes`.
`prior`	an call to `prior.control`. Unnecessary if `kb.obj` is provided.

A p+3 x 4 data-frame with a sample of the prior distribution of model parameters, where p is the length of the mean parameter beta.

Paulo J. Ribeiro Jr. paulojus@leg.ufpr.br,
Peter J. Diggle p.diggle@lancaster.ac.uk.

Further information on the package geoR can be found at:
http://www.leg.ufpr.br/geoR.

krige.bayes and sample.posterior.

sample.prior(50, 
             prior=prior.control(beta.prior = "normal", beta = .5, beta.var.std=0.1, 
                                 sigmasq.prior="sc", sigmasq=1.2, df.sigmasq= 2, 
                                 phi.prior="rec", phi.discrete = seq(0,2, l=21)))