aggrisk: 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.
| Version: |
1.0 |
| Depends: |
R (≥ 2.10) |
| Published: |
2011-09-18 |
| Author: |
Michelle Stanton, Yongtao Guan |
| Maintainer: |
Michelle Stanton <m.stanton at lancaster.ac.uk> |
| License: |
GPL (≥ 2) |
| CRAN checks: |
aggrisk results |
Downloads: