Class 'dcluster' is used to store the main information when a (boostrap) test is performed to detect clusters of disease. Essentially, this class has the same structure and contents as class 'boot' (see in package 'boot') plus some additional information on the test performed.
Additional functions to plot and summarise the results of the test are supplied as well.
# S3 method for dcluster
plot(x, ...)
# S3 method for dcluster
print(x, ...)
# S3 method for dcluster
summary(object, ...)
A 'dcluster' object.
A 'dcluster' object.
Any other additional arguments needed (for example, to pass additional arguments to the plot function).
These functions do not return anything but produce some plots or print asummary of the test.
Lawson et al (eds.) (1999). Disease Mapping and Risk Assessment for Public Health. John Wiley and Sons, Inc.
Lawson, A. B. (2001). Statistical Methods in Spatial Epidemiology. John Wiley and Sons, Inc.