| lines.krige.bayes {geoR} | R Documentation |
Adds a variogram model to a plot with an empirical variogram.
The estimate is a chosen summary (mean, mode or mean) of the
posterior distribution returned by the function krige.bayes.
lines(x, max.dist,
summary.posterior = c("mode", "median", "mean"), ...)
x |
an object of the class krige.bayes, typically output
of the function krige.bayes. |
max.dist |
maximum distance for the x-axis. |
summary.posterior |
specify which summary of the posterior
distribution should be used as parameter estimation. Options are
"mean", "median" or
"mode". See DETAILS below. |
... |
arguments to be passed to the function
lines. |
The functions krige.bayes produces samples of the
posterior distribution of the parameters (sigma^2, phi and tausq.rel).
For the option mode, the mode of (phi and tausq.rel) is used with the conditional
(on thses two values) mode of sigma^2.
For the options mean and median these summaries are
computed from the samples of the posterior.
A line with the estimated variogram plot is added to the plot in the current graphics device. No values are returned.
Paulo J. Ribeiro Jr. Paulo.Ribeiro@est.ufpr.br,
Peter J. Diggle p.diggle@lancaster.ac.uk.
Further information about geoR can be found at:
http://www.maths.lancs.ac.uk/~ribeiro/geoR.html.
krige.bayes and lines.
#See examples in the documentation of the function krige.bayes().