Package: DCluster 0.2-10

DCluster: Functions for the Detection of Spatial Clusters of Diseases

A set of functions for the detection of spatial clusters of disease using count data. Bootstrap is used to estimate sampling distributions of statistics.

Authors:Virgilio Gómez-Rubio, Juan Ferrándiz-Ferragud and Antonio López-Quílez, with contributions by Roger Bivand.

DCluster_0.2-10.tar.gz
DCluster_0.2-10.zip(r-4.5)DCluster_0.2-10.zip(r-4.4)DCluster_0.2-10.zip(r-4.3)
DCluster_0.2-10.tgz(r-4.4-x86_64)DCluster_0.2-10.tgz(r-4.4-arm64)DCluster_0.2-10.tgz(r-4.3-x86_64)DCluster_0.2-10.tgz(r-4.3-arm64)
DCluster_0.2-10.tar.gz(r-4.5-noble)DCluster_0.2-10.tar.gz(r-4.4-noble)
DCluster_0.2-10.tgz(r-4.4-emscripten)DCluster_0.2-10.tgz(r-4.3-emscripten)
DCluster.pdf |DCluster.html✨
DCluster/json (API)

# Install 'DCluster' in R:
install.packages('DCluster', repos = c('https://becarioprecario.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/becarioprecario/dcluster/issues

On CRAN:

4.46 score 1 packages 97 scripts 530 downloads 14 mentions 60 exports 19 dependencies

Last updated 9 months agofrom:395c9aca5b. Checks:OK: 9. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 01 2024
R-4.5-win-x86_64OKNov 01 2024
R-4.5-linux-x86_64OKNov 01 2024
R-4.4-win-x86_64OKNov 01 2024
R-4.4-mac-x86_64OKNov 01 2024
R-4.4-mac-aarch64OKNov 01 2024
R-4.3-win-x86_64OKNov 01 2024
R-4.3-mac-x86_64OKNov 01 2024
R-4.3-mac-aarch64OKNov 01 2024

Exports:achisq.bootachisq.pbootachisq.statachisq.testbesagnewell.bootbesagnewell.pbootbesagnewell.statbn.isclustercalculate.mleDeanBDeanB2dotestempbaysmoothgearyc.bootgearyc.pbootgearyc.statgearyc.testget.knclusterskn.gumbel.isclusterkn.isclusterkullnagar.bootkullnagar.pbootkullnagar.statkullnagar.stat.bernkullnagar.stat.poissonlognormalEBmoranI.bootmoranI.pbootmoranI.statmoranI.testmultinom.simnegbin.simopgamopgam.internopgam.iscluster.defaultopgam.iscluster.negbinplot.dclusterpoisson.simpottwhitt.bootpottwhitt.pbootpottwhitt.statpottwhitt.testprint.dclusterreadSplusrmultinsp2WBstone.bootstone.pbootstone.statstone.testsummary.dclustertango.boottango.pboottango.stattango.testtest.nb.poiswhittermore.bootwhittermore.pbootwhittermore.statwhittermore.test

Dependencies:bootclassclassIntDBIdeldire1071KernSmoothlatticemagrittrMASSproxyRcpps2sfspspDataspdepunitswk

Readme and manuals

Help Manual

Help pageTopics
Another Implementation of Pearson's Chi-square Statisticachisq
Bootstrap Replicates of Pearson's Chi-square Statisticachisq.boot achisq.pboot
Another Implementation of Pearson's Chi-square Statisticachisq.stat achisq.test
Besag and Newell's Statistic for Spatial Clusteringbesagnewell
Generate Boostrap Replicates of Besag and Newell's Statisticbesagnewell.boot besagnewell.pboot
Besag and Newell's Statistic for Spatial Clusteringbesagnewell.stat
Clustering Function for Besag and Newell's Methodbn.iscluster
Calculate Parameters Involved in Sampling Procedurescalculate.mle
Class for Results from a Test for the Detection of Disease Clustersplot.dcluster print.dcluster summary.dcluster
A Package for the Detection of Spatial Clusters of Diseases for Count DataDCluster
Empirical Bayes Smoothingempbaysmooth
Geary's C Autocorrelation Statisticgearyc
Generate Bootstrap Replicates of Geary's C Autocorrelation Statisticgearyc.boot gearyc.pboot
Compute Geary's C Autocorrelation Statisticgearyc.stat gearyc.test
Get Areas in a Cluster Detected with Kulldorff's Statisticget.knclusters
Local Clustering Test Functionopgam.iscluster.default opgam.iscluster.negbin
Clustering Function for Kulldorff and Nagarwalla's Statistickn.gumbel.iscluster kn.iscluster
Kulldorff and Nagarwalla's Statistic for Spatial Clustering.kullnagar
Generate Bootstrap Replicates of Kulldorff and Nagarwalla's Statistickullnagar.boot kullnagar.pboot
Kulldorff and Nagarwalla's Statistic for Spatial Clustering.kullnagar.stat kullnagar.stat.bern kullnagar.stat.poisson
Empirical Bayes Smoothing Using a log-Normal ModellognormalEB
Moran's I Autocorrelation StatisticmoranI
Generate Bootstrap Replicates of Moran's I Autocorrelation StatisticmoranI.boot moranI.pboot
Compute Moran's I Autocorrelation StatisticmoranI.stat moranI.test
Randomly Generate Observed Cases from Different Statistical Distributionsmultinom.sim negbin.sim poisson.sim
Openshaw's GAMopgam opgam.intern
Potthoff-Whittinghill's Statistic for Overdispersionpottwhitt
Bootstrap Replicates of Potthoff-Whittinghill's Statisticpottwhitt.boot pottwhitt.pboot
Compute Potthoff-Whittinghill's Statisticpottwhitt.stat pottwhitt.test
Read exported WinBUGS mapsreadSplus
Generate Random Observations from a Multinomial Distributionrmultin
Export SpatialPolygons object as S-Plus map for WinBUGSsp2WB
Stone's Teststone
Generate Boostrap Replicates of Stone's Statisticstone.boot stone.pboot
Compute Stone's Statisticstone.stat stone.test
Tango's Statistic for General Clusteringtango
Generate Bootstrap Replicated of Tango's Statistictango.boot tango.pboot
Compute Tango's Statistic for General Clusteringtango.stat tango.test
Likelihood Ratio Test and Dean's Tests for OverdispertionDeanB DeanB2 test.nb.pois
Whittermore's Statisticwhittermore
Generate Bootstrap Replicates of Whittermore's Statisticwhittermore.boot whittermore.pboot
Compute Whittermore's Statisticwhittermore.stat whittermore.test