Generate Boostrap Replicates of Besag and Newell's Statistic
Besag and Newell's Statistic for Spatial Clustering
Another Implementation of Pearson's Chi-square Statistic
Potthoff-Whittinghill's Statistic for Overdispersion
Besag and Newell's Statistic for Spatial Clustering
Randomly Generate Observed Cases from Different Statistical Distributions
Empirical Bayes Smoothing Using a log-Normal Model
Class for Results from a Test for the Detection of Disease Clusters
Generate Bootstrap Replicates of Kulldorff and Nagarwalla's Statistic
Calculate Parameters Involved in Sampling Procedures
Compute Stone's Statistic
Openshaw's GAM
Clustering Function for Besag and Newell's Method
Another Implementation of Pearson's Chi-square Statistic
Compute Whittermore's Statistic
Internal Functions in the DCluster Package.
Compute Moran's I Autocorrelation Statistic
Local Clustering Test Function
Whittermore's Statistic
Geary's C Autocorrelation Statistic
Kulldorff and Nagarwalla's Statistic for Spatial Clustering.
Empirical Bayes Smoothing
Generate Bootstrap Replicates of Whittermore's Statistic
Moran's I Autocorrelation Statistic
Generate Bootstrap Replicates of Moran's I Autocorrelation Statistic
Likelihood Ratio Test and Dean's Tests for Overdispertion
Compute Geary's C Autocorrelation Statistic
Bootstrap Replicates of Potthoff-Whittinghill's Statistic
Generate Boostrap Replicates of Stone's Statistic
Generate Bootstrap Replicated of Tango's Statistic
Compute Potthoff-Whittinghill's Statistic
Generate Bootstrap Replicates of Geary's C Autocorrelation Statistic
Stone's Test
Kulldorff and Nagarwalla's Statistic for Spatial Clustering.
Compute Tango's Statistic for General Clustering
Get Areas in a Cluster Detected with Kulldorff's Statistic
Bootstrap Replicates of Pearson's Chi-square Statistic
Tango's Statistic for General Clustering
Clustering Function for Kulldorff and Nagarwalla's Statistic
Generate Random Observations from a Multinomial Distribution
A Package for the Detection of Spatial Clusters of Diseases
for Count Data