check.model.weed {WeedMap}R Documentation

Check goodness of fit of the model

Description

Plot various graphics to assess goddness of fit of the transformed Gaussian model

Usage

check.model.weed(x, xy, y, wx, wxy, i, res, nit, thin, burnin, bin, nqqplot, nresamp = 100)

Arguments

x Coordinates of sites where weed counts only are given
xy Coordinates of sites where weeds and images are given
y Coordinates of sites where image indexes only are given
wx Weed values at sites x
wxy Weed values at sites xy
i Image values at sites xy and y. Values are concatenated in the same vector in this order
res Output of pred.weed
nit Number of iterations
thin Thinning of the Markov chain
burnin Number of values to discard before computing statistics about the empirical posterior
bin Binning for the empirical variograms
nqqplot Number of observation in the qqplot
nresamp Number of realisation resampled to get enveloppe estimates

Value

None

Author(s)

Gilles Guillot

References

G. Guillot, N. Loren, M. Rudemo, Bayesian spatial prediction of weed intensities from exact count data and picture based indexes, 2006, submitted


[Package WeedMap version 0.1 Index]