DCluster                A Package for the Detection of Spatial Clusters
                        of Diseases for Count Data
achisq                  Another Implementation of Pearson's Chi-square
                        Statistic
achisq.boot             Bootstrap Replicates of Pearson's Chi-square
                        Statistic
achisq.stat             Another Implementation of Pearson's Chi-square
                        Statistic
besagnewell             Besag and Newell's Statistic for Spatial
                        Clustering
besagnewell.boot        Generate Boostrap Replicates of Besag and
                        Newell's Statistic
besagnewell.stat        Besag and Newell's Statistic for Spatial
                        Clustering
bn.iscluster            Clustering Function for Besag and Newell's
                        Method
calculate.mle           Calculate Parameters Involved in Sampling
                        Procedures
empbaysmooth            Empirical Bayes Smoothing
gearyc                  Geary's C Autocorrelation Statistic
gearyc.boot             Generate Bootstrap Replicates of Geary's C
                        Autocorrelation Statistic
gearyc.stat             Compute Geary's C Autocorrelation Statistic
get.knclusters          Get Areas in a Cluster Detected with
                        Kulldorff's Statistic
kn.iscluster            Clustering Function for Kulldorff and
                        Nagarwalla's Statistic
kullnagar               Kulldorff and Nagarwalla's Statistic for
                        Spatial Clustering.
kullnagar.boot          Generate Bootstrap Replicates of Kulldorff and
                        Nagarwalla's Statistic
kullnagar.stat          Kulldorff and Nagarwalla's Statistic for
                        Spatial Clustering.
lognormalEB             Empirical Bayes Smoothing Using a log-Normal
                        Model
moranI                  Moran's I Autocorrelation Statistic
moranI.boot             Generate Bootstrap Replicates of Moran's I
                        Autocorrelation Statistic
moranI.stat             Compute Moran's I Autocorrelation Statistic
multinom.sim            Randomly Generate Observed Cases from Different
                        Statistical Distributions
opgam                   Openshaw's GAM
opgam.iscluster.default
                        Local Clustering Test Function
plot.dcluster           Class for Results from a Test for the Detection
                        of Disease Clusters
pottwhitt               Potthoff-Whittinghill's Statistic for
                        Overdispersion
pottwhitt.boot          Bootstrap Replicates of Potthoff-Whittinghill's
                        Statistic
pottwhitt.stat          Compute Potthoff-Whittinghill's Statistic
rmultin                 Generate Random Observations from a Multinomial
                        Distribution
stone                   Stone's Test
stone.boot              Generate Boostrap Replicates of Stone's
                        Statistic
stone.stat              Compute Stone's Statistic
tango                   Tango's Statistic for General Clustering
tango.boot              Generate Bootstrap Replicated of Tango's
                        Statistic
tango.stat              Compute Tango's Statistic for General
                        Clustering
test.nb.pois            Likelihood Ratio Test and Dean's Tests for
                        Overdispertion
whittermore             Whittermore's Statistic
whittermore.boot        Generate Bootstrap Replicates of Whittermore's
                        Statistic
whittermore.stat        Compute Whittermore's Statistic
