aggrisk 1.0

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

Released Oct 29, 2012 by Michelle Stanton

This package can be loaded by Renjin but all tests failed.

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.



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    <name>bedatadriven public repo</name>

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Test Results

This package was last tested against Renjin 0.9.2644 on Jun 2, 2018.



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