Estimate individual level risk using individual case data and spatially aggregated control data This package uses weighted estimating equations to estimate regression parameters in the intensity function of an inhomogeneous spatial Poisson process, when information on risk-factors is available at the individual level for cases, but only at a spatially aggregated level for the population at risk. Data-driven methods are used to select the weights used in the estimating equations. A formal test is available to detect non-Poisson behaviour in the underlying point process. Software Depends: R (>= 2.10) Michelle Stanton <m.stanton@lancaster.ac.uk> Michelle Stanton, Yongtao Guan GPL (>= 2) 2011-09-18 application/tgz http://CRAN.R-project.org/package=aggrisk