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smacpod (version 1.3.0)

Statistical Methods for the Analysis of Case-Control Point Data

Description

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).

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Version

Install

install.packages('smacpod')

Monthly Downloads

674

Version

1.3.0

License

GPL (>= 2)

Maintainer

Joshua French

Last Published

September 13th, 2015

Functions in smacpod (1.3.0)

plot.kdenv

Plots object from kdest of class kdenv.
logrr.test

Global test of clustering using log ratio of spatial densities
kdest

Difference of estimated K functions
plot.logrrenv

Plots object from logrr of class logrrenv.
qnn.test

q Nearest Neighbors Test
circles.intersect

Determine whether circles intersection
kdplus.test

Global test of clustering using difference in K functions
spscan.test

Spatial Scan Test
spdensity

Kernel smoothed spatial density of point pattern
nn

Determine nearest neighbors
grave

Medieval Grave Site Data
kd

Difference of estimated K functions
plot.scan

Plots object from spscan.test of class scan.
logrr

Log ratio of spatial densities