vector of time points for prediction. Must start strictly after last inferred time point.
spatial.intensity
the fixed spatial component: an object of that can be coerced to one of class spatialAtRisk
temporal.intensity
the fixed temporal component: either a numeric vector, or a function that can be coerced into an object of class temporalAtRisk
Value
forcasted relative risk, Poisson intensities and Y values over grid, together with approximate variance.
Details
Function to produce forecasts for the mean field $Y$ at times beyond the last time point in the
analysis (given by the argument T in the function lgcpPredict).
References
Brix A, Diggle PJ (2001). Spatiotemporal Prediction for log-Gaussian Cox processes. Journal of the Royal Statistical Society, Series B, 63(4), 823-841.