Dear list, I've been using geoRglm for parameter estimation and spatial predictions for a disease dataset along with 3 predictor variables.
I just have a quick question about the option sim.predict in output.glm.control - am I correct in thinking that when this is set to TRUE, you end up with a sample from the predictive distribution at each prediction location, and from this sample the predictive median, 95%CrI and uncertainty is calculated for each prediction location? If that is correct, then how are predictive medians calculated when this option is set to FALSE? I have run my model like this and ended up with a sensible looking prediction, but if I am correct in the above understanding of sim.predict, then how are the medians calculated without the sample from the predictive distributions? If Im not correct, can someone please point me in the right direction as to how the predictive output is produced when this is TRUE and FALSE? Many thanks (and I hope this question makes sense!) Nicola -- The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336. _______________________________________________ R-sig-Geo mailing list R-sig-Geo@stat.math.ethz.ch https://stat.ethz.ch/mailman/listinfo/r-sig-geo
