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geoR (version 1.2-5)

sample.prior: Samples from the prior

Description

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 as for when calling krige.bayes.

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. Not needed if kb.obj is provided.

Value

  • A data-frame with samples from the model parameters.

See Also

krige.bayes and sample.posterior.

Examples

Run this code
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)))

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