show.pred.weed {WeedMap}R Documentation

Plot results of pred.weed

Description

Plot traces of Markov chains simulated by pred.weed, compute statistics on the posterior distribution, compare to known true values. (if any)

Usage

show.pred.weed(sim = NULL, res, param = TRUE, pairs = TRUE, wy = TRUE, wz = TRUE, nit, thin, burnin)

Arguments

sim A list, typically the output of function sim.weed
res A list, typically the output of function pred.weed
param Logical: if TRUE graphs of simulated parameters contained in res are displayed
pairs Logical: if TRUE pair plots of predicted weed values are ploted against known true values provided as outputof function sim are displayed (for debuging and convergence checking)
wy Logical: if TRUE chains corresponding to the nine first sites in y are displayed
wz Logical: if TRUE chains corresponding to the nine first sites in z are displayed
nit Number of Markov iterations
thin Thinning of the chain
burnin Number of values to discard before computing statistics about the empirical posterior. The number of iterations discarded is the number of stored iterations, e.g. if nit=10000 and thin=10, then only 1000 iterations are stored and burnin=100 will remove the 100 first which correspond to actually thin*burnin=1000 Markov iterations.

Value

No value returned

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]