Estimate individual level risk using individual case data and spatially aggregated control data

Documentation for package ‘aggrisk’ version 1.0

aggrisk-package	Estimate individual-level risk using individual case data and spatially aggregated control data.
aggrisk	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