Hi, First of all, I appreciate everyone's help with my last question! I am looking to estimate a model using a MLE model of an inhomogenous Poisson point process (using ppm) in spatstat. I have data on points that span many years (panel data) and and I am looking to estimate a model where I can have the same coefficients for covariates for all years, but have different values of the covariates (points in space) for each year (basically run a traditional panel data regression, but for a point process), and allow for differing mean intensity by year (ie a year "fixed effect"). Is there a way to do this in spatstat (or another simple way to do it, without needing to code up the MLE and accompanying integral by myself). Thanks for any help that people can provide!
-Ted --------------------------------------------- Graduate Student Yale University Department of Economics [[alternative HTML version deleted]] _______________________________________________ R-sig-Geo mailing list R-sig-Geo@stat.math.ethz.ch https://stat.ethz.ch/mailman/listinfo/r-sig-geo