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DCluster (version 0.2-10)

Functions for the Detection of Spatial Clusters of Diseases

Description

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

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Version

Install

install.packages('DCluster')

Monthly Downloads

594

Version

0.2-10

License

GPL (>= 2)

Maintainer

Virgilio Gf3mez-Rubio

Last Published

February 5th, 2024

Functions in DCluster (0.2-10)

Tests for Overdispertion

Likelihood Ratio Test and Dean's Tests for Overdispertion
gearyc.stat

Compute Geary's C Autocorrelation Statistic
gearyc

Geary's C Autocorrelation Statistic
kullnagar.stat

Kulldorff and Nagarwalla's Statistic for Spatial Clustering.
kullnagar

Kulldorff and Nagarwalla's Statistic for Spatial Clustering.
empbaysmooth

Empirical Bayes Smoothing
kullnagar.boot

Generate Bootstrap Replicates of Kulldorff and Nagarwalla's Statistic
pottwhitt

Potthoff-Whittinghill's Statistic for Overdispersion
DCluster-internal

Internal Functions in the DCluster Package.
get.knclusters

Get Areas in a Cluster Detected with Kulldorff's Statistic
iscluster

Local Clustering Test Function
moranI.boot

Generate Bootstrap Replicates of Moran's I Autocorrelation Statistic
moranI.stat

Compute Moran's I Autocorrelation Statistic
pottwhitt.boot

Bootstrap Replicates of Potthoff-Whittinghill's Statistic
lognormalEB

Empirical Bayes Smoothing Using a log-Normal Model
tango.stat

Compute Tango's Statistic for General Clustering
moranI

Moran's I Autocorrelation Statistic
rmultin

Generate Random Observations from a Multinomial Distribution
tango.boot

Generate Bootstrap Replicated of Tango's Statistic
tango

Tango's Statistic for General Clustering
stone

Stone's Test
whittermore.stat

Compute Whittermore's Statistic
stone.boot

Generate Boostrap Replicates of Stone's Statistic
sp2WB

Export SpatialPolygons object as S-Plus map for WinBUGS
stone.stat

Compute Stone's Statistic
gearyc.boot

Generate Bootstrap Replicates of Geary's C Autocorrelation Statistic
pottwhitt.stat

Compute Potthoff-Whittinghill's Statistic
opgam

Openshaw's GAM
observed.sim

Randomly Generate Observed Cases from Different Statistical Distributions
whittermore

Whittermore's Statistic
whittermore.boot

Generate Bootstrap Replicates of Whittermore's Statistic
readSplus

Read exported WinBUGS maps
DCluster

A Package for the Detection of Spatial Clusters of Diseases for Count Data
besagnewell

Besag and Newell's Statistic for Spatial Clustering
calculate.mle

Calculate Parameters Involved in Sampling Procedures
besagnewell.boot

Generate Boostrap Replicates of Besag and Newell's Statistic
dcluster

Class for Results from a Test for the Detection of Disease Clusters
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.stat

Besag and Newell's Statistic for Spatial Clustering
bn.iscluster

Clustering Function for Besag and Newell's Method
kn.iscluster

Clustering Function for Kulldorff and Nagarwalla's Statistic