I am very pleased to announce that SDALGCP package is now on cran! SDALGCP package provides a computationally efficient discrete approximation to log-Gaussian Cox process model for spatially aggregated disease count data. It uses Monte Carlo Maximum Likelihood for model parameter estimation and delivers a spatial prediction of the relative risk both on a discrete and continuous scale. On cran: cran.r-project.org/web/packages/SDALGCP/index.html On GitHub: github.com/olatunjijohnson/SDALGCP The vignette to the package can be found here cran.r-project.org/web/packages/SDALGCP/vignettes/SDALGCP-vignette.html Any suggestions and comment are welcome. Cheers Olatunji Johnson Lancaster Medical School [[alternative HTML version deleted]]