Description Usage Arguments Details Value Author(s)
This function performs spatial continuous prediction, fixing the model parameters at the Monte Carlo maximum likelihood estimates of a SDALGCP model.
1 2 3 4 5 6 7 8 9 10 |
para_est |
an object of class "SDALGCP" obtained as a result of a call to |
cellsize |
the size of the computational grid |
control.mcmc |
output from |
pred.loc |
optional, the dataframe of the predictive grid. |
divisor |
optional, the value to use to convert the dimension of the polygon, default is 1 which implies no conversion |
plot.correlogram |
logical; if plot.correlogram=TRUE the autocorrelation plot of the conditional simulations is displayed. |
messages |
logical; if messages=TRUE then status messages are printed on the screen (or output device) while the function is running. Default is messages=TRUE. |
parallel |
to parallelize some part of the function. |
The function returns the prediction of the relative risk exp(S(x))
pred.draw: the samples of the prediction
pred: the prediction of the relative risk
predSD: the standard error of the prediction
Pred.loc: The coordinates of the predictive locations
Olatunji O. Johnson o.johnson@lancaster.ac.uk
Emanuele Giorgi e.giorgi@lancaster.ac.uk
Peter J. Diggle p.diggle@lancaster.ac.uk
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