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smacpod

Statistical Methods for the Analysis of Case-Control Point Data

Statistical methods for analyzing case-control point data. Methods include the ratio of kernel densities, the difference in K Functions, the spatial scan statistic, and q nearest neighbors of cases.

Functions (17)

circles.intersect

Determine whether circles intersect

circles.plot

Plot circles

grave

Medieval Grave Site Data

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 densities

Determine nearest neighbors

noc

Determine non-overlapping clusters

plot.kdenv

Plot a kdenv object.

plot.logrrenv

Plots objects produced by the logrr function.

plot.spscan

Plots object from spscan.test.

print.kdenv

Print a kdenv object

qnn.test

q Nearest Neighbors Test

spdensity

Kernel smoothed spatial density of point pattern

spscan.test

Spatial Scan Test

smacpod

Statistical Methods for the Analysis of Case-Control Point Data

v2.1.1

GPL (>= 2)

Authors

Joshua French [aut, cre] (<https://orcid.org/0000-0002-9708-3353>)

Initial release

smacpod

Functions (17)

smacpod

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