Various statistical methods for analyzing case-control point data. The methods available closely follow those in chapter 6 of Applied Spatial Statistics for Public Health Data by Waller and Gotway (2004).
|Date of publication||2015-09-23 03:07:51|
|Maintainer||Joshua French <firstname.lastname@example.org>|
|License||GPL (>= 2)|
circles.intersect: Determine whether circles intersection
grave: Medieval Grave Site Data
kd: Difference of estimated K functions
kdest: Difference of estimated K functions
kdplus.test: Global test of clustering using difference in K functions
logrr: Log ratio of spatial densities
logrr.test: Global test of clustering using log ratio of spatial...
nn: Determine nearest neighbors
noc: Determine non-overlapping clusters
plot.kdenv: Plots object from kdest of class 'kdenv'.
plot.logrrenv: Plots object from logrr of class 'logrrenv'.
plot.scan: Plots object from spscan.test of class 'scan'.
qnn.test: 'q' Nearest Neighbors Test
spdensity: Kernel smoothed spatial density of point pattern
spscan.test: Spatial Scan Test
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