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DCluster (version 0.2-8)

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

495

Version

0.2-8

License

GPL (>= 2)

Maintainer

Virgilio Gf3mez-Rubio

Last Published

June 6th, 2022

Functions in DCluster (0.2-8)

achisq

Another Implementation of Pearson's Chi-square Statistic
bn.iscluster

Clustering Function for Besag and Newell's Method
besagnewell.boot

Generate Boostrap Replicates of Besag and Newell's Statistic
besagnewell.stat

Besag and Newell's Statistic for Spatial Clustering
DCluster

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

Besag and Newell's Statistic for Spatial Clustering
achisq.stat

Another Implementation of Pearson's Chi-square Statistic
calculate.mle

Calculate Parameters Involved in Sampling Procedures
dcluster

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

Bootstrap Replicates of Pearson's Chi-square Statistic
iscluster

Local Clustering Test Function
kn.iscluster

Clustering Function for Kulldorff and Nagarwalla's Statistic
gearyc.boot

Generate Bootstrap Replicates of Geary's C Autocorrelation Statistic
gearyc

Geary's C Autocorrelation Statistic
observed.sim

Randomly Generate Observed Cases from Different Statistical Distributions
kullnagar.boot

Generate Bootstrap Replicates of Kulldorff and Nagarwalla's Statistic
kullnagar.stat

Kulldorff and Nagarwalla's Statistic for Spatial Clustering.
DCluster-internal

Internal Functions in the DCluster Package.
tango.stat

Compute Tango's Statistic for General Clustering
tango.boot

Generate Bootstrap Replicated of Tango's Statistic
gearyc.stat

Compute Geary's C Autocorrelation Statistic
Tests for Overdispertion

Likelihood Ratio Test and Dean's Tests for Overdispertion
empbaysmooth

Empirical Bayes Smoothing
get.knclusters

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

Whittermore's Statistic
kullnagar

Kulldorff and Nagarwalla's Statistic for Spatial Clustering.
opgam

Openshaw's GAM
whittermore.boot

Generate Bootstrap Replicates of Whittermore's Statistic
moranI

Moran's I Autocorrelation Statistic
lognormalEB

Empirical Bayes Smoothing Using a log-Normal Model
moranI.boot

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

Compute Moran's I Autocorrelation Statistic
whittermore.stat

Compute Whittermore's Statistic
stone

Stone's Test
rmultin

Generate Random Observations from a Multinomial Distribution
pottwhitt.stat

Compute Potthoff-Whittinghill's Statistic
tango

Tango's Statistic for General Clustering
pottwhitt

Potthoff-Whittinghill's Statistic for Overdispersion
pottwhitt.boot

Bootstrap Replicates of Potthoff-Whittinghill's Statistic
stone.stat

Compute Stone's Statistic
stone.boot

Generate Boostrap Replicates of Stone's Statistic