Hello, I have some data that exhibits a negative binomial distribution and also spatial structure. I would like to create a model that accounts for both. However, instead of locations, I have a distance matrix (cost matrix) describing the spatial relationships among the locations. I have tried using various methods (spBayes,geoRglm,geoR), but none incorporate both a negative binomial distribution and distance matrix. Many methods use the geodata object, which uses coordinates.
Please provide suggestions as to what approach I can use to analyze this data. Thank you!! Christy M. -- View this message in context: http://r.789695.n4.nabble.com/negative-binomial-regression-with-spatial-weights-matrix-not-locations-tp3679071p3679071.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
