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 |
readSplus |
Read exported WinBUGS maps |
rmultin |
Generate Random Observations from a Multinomial Distribution |
sp2WB |
Export SpatialPolygons object as S-Plus map for WinBUGS |
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 |