kulld {spatclus}R Documentation

Kulldorff circular zone determination

Description

The spatial scan statistic of Kulldorff is computed using the Poisson or Bernoulli model for each point of the grid, and the circular zone maximizing this statistic is located.

Usage

 kulld(pop,rndm,methk,export,repexport)

Arguments

pop Matrix with 3 columns giving coordinates of underlying population data points in the first 2 colums. Last is a column of 1's. This population must include the cases of the "data" object.
rndm A vector giving the row number of the cases.
methk If 1, the Bernouilli model is used. If 2, the Poisson model is used. If 3, the two models are successively used.
export If "y", the data will be exported in "repexport" directory in SatScan software format.
repexport If export = "y", defines the directory in which data in SatScan software format will be exported.

Details

The theory used in this function is based on works of M. Kulldorff.

Value

A list of objects :

$pois A vector giving the results of the Kulldorff method with the Poisson model. lambda is the value of the spatial scan test statistic, loglambda is its logarithm, cx and cy are the coordinates of the circle center and rayon is its ray.
$bern A vector giving the results of the Kulldorff method with the Bernouilli model. lambda is the value of the spatial scan test statistic, loglambda is its logarithm, cx and cy are the coordinates of the circle center and rayon is its ray.

Author(s)

Christophe Dematte{"i} demattei@iurc.montp.inserm.fr

References

Kulldorff M. (1997), A spatial scan statistic. Communications in Statistics - Theory and Methods, 26, 1481–1496.

Kulldorff M. and Nagarwalla N. (1995), Spatial disease clusters : Detection and Inference. Statistics in Medicine, 14, 799–810.

See Also

dist2p delai


[Package spatclus version 1.0-3 Index]