localEM: Nonparametric Modelling of Spatial Risk for Areal Disease Data

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
2016-11-02 15:31:59
Maintainer
Paul Nguyen <pablo.nguyen@utoronto.ca>
License
GPL-2
Version
0.2.0

View on R-Forge

Man pages

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...

Files in this package

localEM/DESCRIPTION
localEM/NAMESPACE
localEM/R
localEM/R/excProbFun.R
localEM/R/kentuckyData.R
localEM/R/kernMatUtils.R
localEM/R/lemEstFun.R
localEM/R/lemXvEstUtils.R
localEM/R/lemXvFun.R
localEM/R/rasterPartFun.R
localEM/R/smoothMatFun.R
localEM/R/smoothMatUtils.R
localEM/build
localEM/build/vignette.rds
localEM/data
localEM/data/datalist
localEM/data/kMap.RData
localEM/data/kentuckyCounty.RData
localEM/data/kentuckyTract.RData
localEM/inst
localEM/inst/dataSource
localEM/inst/dataSource/usaPopulation.R
localEM/inst/doc
localEM/inst/doc/kentucky.Rmd
localEM/inst/doc/kentucky.html
localEM/localEM.Rproj
localEM/man
localEM/man/excProb.Rd
localEM/man/kMap.Rd
localEM/man/kentuckyCounty.Rd
localEM/man/kentuckyTract.Rd
localEM/man/lemXv.Rd
localEM/man/rasterPartition.Rd
localEM/man/riskEst.Rd
localEM/man/smoothingMatrix.Rd
localEM/vignettes
localEM/vignettes/kentucky.Rmd
localEM/vignettes/toCleanMakefile