smacpod: kdplus.test – R documentation

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kdplus.test

Global test of clustering using difference in K functions

Description

kdplus.test 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.

Usage

kdplus.test(x)

Arguments

`x`	A `kdenv` object from the `kdest` function.

Value

A list providing the observed test statistic (kdplus) and the estimate p-value pvalue.

Author(s)

Joshua French

References

Waller, L.A. and Gotway, C.A. (2005). Applied Spatial Statistics for Public Health Data. Hoboken, NJ: Wiley. Diggle, Peter J., and Amanda G. Chetwynd. "Second-order analysis of spatial clustering for inhomogeneous populations." Biometrics (1991): 1155-1163.

Examples

data(grave)
kdsim = kdest(grave, nsim = 9)
kdplus.test(kdsim)

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