krige.bayes.## S3 method for class 'krige.bayes':
lines.variomodel(x, summary.posterior, max.dist, uvec,
posterior = c("variogram", "parameters"), ...)krige.bayes, typically an output
of the function krige.bayes."mean", "median" or
"mode". See DETAILS below.posterior = "variogram".
Defaults to seq(0, max.dist, length = 51).krige.bayes returns samples from the
posterior distribution of the parameters $(\sigma^2, \phi,
\tau^{2}_{rel})$.
This function allows for two basic options to draw a line with a
summary of the variogram function.
uvec. Then a function provided by the user in the
argumentsummary.posterioris used to compute a summary of
the values obtained at each support point."mode" (default) ,"median" or "mean"
can be provided in the argument summary.posterior.
The option mode, uses the mode of $(\phi,
\tau^{2}_{rel})$ and the mode of
of $\sigma^2$ conditional on the modes of the former parameters.
For the options mean and median these summaries are
computed from the samples of the posterior.
}lines.variomodel, krige.bayes and lines.#See examples in the documentation of the function krige.bayes().Run the code above in your browser using DataLab