kdplus.test

<code>kdplus.test</code> performs a global test of clustering
for comparing cases and controls using the method of
Diggle and Chetwynd (1991). It relies on the difference
in estimated K functions.

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.

Joshua French

smacpod

Statistical Methods for the Analysis of Case-Control Point Data

kdplus.test function

<dl><dt>x</dt>
<dd>A <code>kdenv</code> object from the <code>kdest</code>
function.</dd></dl>

Arguments

Author

Global test of clustering using difference in K functions — kdplus.test

<dl>

<dt>x</dt>
<dd>A <code>kdenv</code> object from the <code>kdest</code>
function.</dd>

</dl>

kdplus.test: Global test of clustering using difference in K functions

Description

Usage

Value

Arguments

Author

References

See Also

Examples