sparr: Analyzing Spatial Relative Risk Using Fixed and Adaptive Kernel Density Estimation in R

sparr: Analyzing Spatial Relative Risk Using Fixed and Adaptive Kernel Density Estimation in R

The estimation of kernel-smoothed relative risk functions is a useful approach to examining the spatial variation of disease risk. Though there exist several options for performing kernel density estimation in statistical software packages, there have been very few contributions to date that have fo...

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Bibliographic Details
Main Authors: Tilman M. Davies, Martin L. Hazelton, Jonathan C. Marshall
Format: Article
Language:English
Published: Foundation for Open Access Statistics 2011-03-01
Series:Journal of Statistical Software
Subjects:
density estimation
variable bandwidth
tolerance contours
geographical epidemiology
kernel smoothing
Online Access:http://www.jstatsoft.org/v39/i01/paper

Internet

http://www.jstatsoft.org/v39/i01/paper

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