Functions for the Detection of Spatial Clusters of Diseases
Internal Functions in the DCluster Package.
Bootstrap Replicates of Potthoff-Whittinghill's Statistic
Bootstrap Replicates of Pearson's Chi-square Statistic
Another Implementation of Pearson's Chi-square Statistic
Another Implementation of Pearson's Chi-square Statistic
Generate Boostrap Replicates of Besag and Newell's Statistic
Besag and Newell's Statistic for Spatial Clustering
Besag and Newell's Statistic for Spatial Clustering
Clustering Function for Besag and Newell's Method
Calculate Parameters Involved in Sampling Procedures
A Package for the Detection of Spatial Clusters of Diseases for Count ...
Class for Results from a Test for the Detection of Disease Clusters
Likelihood Ratio Test and Dean's Tests for Overdispertion
Empirical Bayes Smoothing
Generate Bootstrap Replicates of Geary's C Autocorrelation Statistic
Geary's C Autocorrelation Statistic
Compute Geary's C Autocorrelation Statistic
Get Areas in a Cluster Detected with Kulldorff's Statistic
Clustering Function for Kulldorff and Nagarwalla's Statistic
Generate Bootstrap Replicates of Kulldorff and Nagarwalla's Statistic
Kulldorff and Nagarwalla's Statistic for Spatial Clustering.
Kulldorff and Nagarwalla's Statistic for Spatial Clustering.
Empirical Bayes Smoothing Using a log-Normal Model
Generate Bootstrap Replicates of Moran's I Autocorrelation Statistic
Moran's I Autocorrelation Statistic
Compute Moran's I Autocorrelation Statistic
Randomly Generate Observed Cases from Different Statistical Distributi...
Local Clustering Test Function
Openshaw's GAM
Potthoff-Whittinghill's Statistic for Overdispersion
Compute Potthoff-Whittinghill's Statistic
Read exported WinBUGS maps
Generate Random Observations from a Multinomial Distribution
Export SpatialPolygons object as S-Plus map for WinBUGS
Generate Boostrap Replicates of Stone's Statistic
Stone's Test
Compute Stone's Statistic
Generate Bootstrap Replicated of Tango's Statistic
Tango's Statistic for General Clustering
Compute Tango's Statistic for General Clustering
Generate Bootstrap Replicates of Whittermore's Statistic
Whittermore's Statistic
Compute Whittermore's Statistic
A set of functions for the detection of spatial clusters of disease using count data. Bootstrap is used to estimate sampling distributions of statistics.