Implementing the kernel smoothing local-EM algorithm on disease data aggregated to highly coarse geographical regions while using population data collected on highly fine geographical regions to estimate spatial risk.
|Author||Paul Nguyen, Patrick Brown|
|Date of publication||2016-12-13 20:10:03|
|Maintainer||Paul Nguyen <email@example.com>|
excProb: Computes the exceedance probabilities on the raster of fine...
kentuckyCounty: Observed cancer case data in Kentucky
kentuckyTract: Population and expected cancer case data in Kentucky
kMap: Map of Kentucky
lemXv: Computes the likelihood cross-validation
rasterPartition: Generates the partitions by overlaying rasters of the coarse...
riskEst: Computes the relative risk estimation on the raster of fine...
smoothingMatrix: Generates the smoothing matrix for the partitions and...