aggrisk-package         Estimate individual-level risk using individual
                        case data and spatially aggregated control
                        data.
alderhey                Meningococcal disease data
find_weights            A function to find the weights for the
                        estimating equations used to estimate the
                        regression parameters of an inhomogeneous
                        Poisson process
spline_t                A function to estimate the temporal variation
                        in risk
sterms                  A function to obtain the covariates relating to
                        the cubic spline
testf                   A function to test the assumption that cases
                        form an inhomogeneous Poisson process
teststat                A formal test statistic for checking the
                        assumption that the location of cases form an
                        inhomogeneous Poisson process
unweighted              This function uses estimating equations with
                        equal weights to estimate regression parameters
                        of an inhomogeneous Poisson process
var_beta                Function to estimate the variance of the
                        regression coefficients
var_test                Function to calculate the variance of the test
                        statistic for checking the assumption that
                        cases form an inhomogeneous Poisson process
weighted                This function uses estimating equations with
                        weights selected via data-driven methods to
                        estimate regression parameters of an
                        inhomogeneous Poisson process
