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).
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
inclusion
criterion for cells being included into
observation window. Either 'touching' or 'centroid'. The
former includes all cells that touch the observation
window, the latter includes all cells whose centroids are
inside the observation window.
Value
forcasted relative risk, Poisson intensities and Y values
over grid, together with approximate variance.
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.