# sample.prior

0th

Percentile

##### Sample the prior distribution

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.

Keywords
distribution, spatial
##### Usage
sample.prior(n, kb.obj=NULL, prior=prior.control())
##### Arguments
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.

##### Value

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

##### References

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

krige.bayes and sample.posterior.

• sample.prior
##### Examples
# NOT RUN {
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)))
# }

Documentation reproduced from package geoR, version 1.8-1, License: GPL (>= 2)

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