| achisq | Another Implementation of Pearson's Chi-square Statistic |
| achisq.boot | Bootstrap Replicates of Pearson's Chi-square Statistic |
| achisq.pboot | Bootstrap Replicates of Pearson's Chi-square Statistic |
| achisq.stat | Another Implementation of Pearson's Chi-square Statistic |
| achisq.test | 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.pboot | 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 |
| DCluster | A Package for the Detection of Spatial Clusters of Diseases for Count Data |
| DeanB | Likelihood Ratio Test and Dean's Tests for Overdispertion |
| DeanB2 | Likelihood Ratio Test and Dean's Tests for Overdispertion |
| empbaysmooth | Empirical Bayes Smoothing |
| gearyc | Geary's C Autocorrelation Statistic |
| gearyc.boot | Generate Bootstrap Replicates of Geary's C Autocorrelation Statistic |
| gearyc.pboot | Generate Bootstrap Replicates of Geary's C Autocorrelation Statistic |
| gearyc.stat | Compute Geary's C Autocorrelation Statistic |
| gearyc.test | Compute Geary's C Autocorrelation Statistic |
| get.knclusters | Get Areas in a Cluster Detected with Kulldorff's Statistic |
| kn.gumbel.iscluster | Clustering Function for Kulldorff and Nagarwalla'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.pboot | Generate Bootstrap Replicates of Kulldorff and Nagarwalla's Statistic |
| kullnagar.stat | Kulldorff and Nagarwalla's Statistic for Spatial Clustering. |
| kullnagar.stat.bern | Kulldorff and Nagarwalla's Statistic for Spatial Clustering. |
| kullnagar.stat.poisson | 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.pboot | Generate Bootstrap Replicates of Moran's I Autocorrelation Statistic |
| moranI.stat | Compute Moran's I Autocorrelation Statistic |
| moranI.test | Compute Moran's I Autocorrelation Statistic |
| multinom.sim | Randomly Generate Observed Cases from Different Statistical Distributions |
| negbin.sim | Randomly Generate Observed Cases from Different Statistical Distributions |
| opgam | Openshaw's GAM |
| opgam.intern | Openshaw's GAM |
| opgam.iscluster.default | Local Clustering Test Function |
| opgam.iscluster.negbin | Local Clustering Test Function |
| plot.dcluster | Class for Results from a Test for the Detection of Disease Clusters |
| poisson.sim | Randomly Generate Observed Cases from Different Statistical Distributions |
| pottwhitt | Potthoff-Whittinghill's Statistic for Overdispersion |
| pottwhitt.boot | Bootstrap Replicates of Potthoff-Whittinghill's Statistic |
| pottwhitt.pboot | Bootstrap Replicates of Potthoff-Whittinghill's Statistic |
| pottwhitt.stat | Compute Potthoff-Whittinghill's Statistic |
| pottwhitt.test | Compute Potthoff-Whittinghill's Statistic |
| print.dcluster | Class for Results from a Test for the Detection of Disease Clusters |
| rmultin | Generate Random Observations from a Multinomial Distribution |
| stone | Stone's Test |
| stone.boot | Generate Boostrap Replicates of Stone's Statistic |
| stone.pboot | Generate Boostrap Replicates of Stone's Statistic |
| stone.stat | Compute Stone's Statistic |
| stone.test | Compute Stone's Statistic |
| summary.dcluster | Class for Results from a Test for the Detection of Disease Clusters |
| tango | Tango's Statistic for General Clustering |
| tango.boot | Generate Bootstrap Replicated of Tango's Statistic |
| tango.pboot | Generate Bootstrap Replicated of Tango's Statistic |
| tango.stat | Compute Tango's Statistic for General Clustering |
| tango.test | 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.pboot | Generate Bootstrap Replicates of Whittermore's Statistic |
| whittermore.stat | Compute Whittermore's Statistic |
| whittermore.test | Compute Whittermore's Statistic |