Dear list. I've completed a spatial GLM analysis of a dataset with one outcome variable (binomial) using geoRglm. I now want to go on to extend this analysis in 2 ways: 1) incorporating a temporal element and 2) using a second (related) outcome variable.
As far as I am aware, geoRglm doesn't have the functionality for spatio-temporal modelling, or for multivariate modelling. Is this correct? >From a brief look around on the web it seems like spBayes could be the thing for the job. Can anyone give me a wee bit of advice as to whether spBayes could potentially be right for what I want to do (or if there is anything else which I could use)? Basically, I want to carry out spatio-temporal modelling of joint distribution data for 2 related disease measures (will be disease prevalence or counts in humans and animals). The outputs I want (if possible) are estimates of covariate effects on both human and animal disease, the relationship between human and animal disease and a spatio-temporal prediction. Please forgive me if I use the wrong technical terms as my first analysis with geoRglm was my first ever introduction to geostatistics and spatial modelling...perhaps I am being overambitious! Many thanks in advance, Nicola Batchelor University of Edinburgh and University of Southampton -- 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
