Learn R Programming
⚠️There's a newer version (0.2-10) of this package.Take me there.

DCluster (version 0.2-7)

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.

Copy Link

Version

Install

install.packages('DCluster')

Monthly Downloads

594

Version

0.2-7

License

GPL (>= 2)

Maintainer

Virgilio Gf3mez-Rubio

Last Published

March 17th, 2015

Functions in DCluster (0.2-7)

besagnewell.boot

Generate Boostrap Replicates of Besag and Newell's Statistic
besagnewell

Besag and Newell's Statistic for Spatial Clustering
achisq

Another Implementation of Pearson's Chi-square Statistic
pottwhitt

Potthoff-Whittinghill's Statistic for Overdispersion
besagnewell.stat

Besag and Newell's Statistic for Spatial Clustering
observed.sim

Randomly Generate Observed Cases from Different Statistical Distributions
lognormalEB

Empirical Bayes Smoothing Using a log-Normal Model
dcluster

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

Generate Bootstrap Replicates of Kulldorff and Nagarwalla's Statistic
calculate.mle

Calculate Parameters Involved in Sampling Procedures
stone.stat

Compute Stone's Statistic
opgam

Openshaw's GAM
bn.iscluster

Clustering Function for Besag and Newell's Method
achisq.stat

Another Implementation of Pearson's Chi-square Statistic
whittermore.stat

Compute Whittermore's Statistic
DCluster-internal

Internal Functions in the DCluster Package.
moranI.stat

Compute Moran's I Autocorrelation Statistic
iscluster

Local Clustering Test Function
whittermore

Whittermore's Statistic
gearyc

Geary's C Autocorrelation Statistic
kullnagar.stat

Kulldorff and Nagarwalla's Statistic for Spatial Clustering.
empbaysmooth

Empirical Bayes Smoothing
whittermore.boot

Generate Bootstrap Replicates of Whittermore's Statistic
moranI

Moran's I Autocorrelation Statistic
moranI.boot

Generate Bootstrap Replicates of Moran's I Autocorrelation Statistic
Tests for Overdispertion

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

Compute Geary's C Autocorrelation Statistic
pottwhitt.boot

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

Generate Boostrap Replicates of Stone's Statistic
tango.boot

Generate Bootstrap Replicated of Tango's Statistic
pottwhitt.stat

Compute Potthoff-Whittinghill's Statistic
gearyc.boot

Generate Bootstrap Replicates of Geary's C Autocorrelation Statistic
stone

Stone's Test
kullnagar

Kulldorff and Nagarwalla's Statistic for Spatial Clustering.
tango.stat

Compute Tango's Statistic for General Clustering
get.knclusters

Get Areas in a Cluster Detected with Kulldorff's Statistic
achisq.boot

Bootstrap Replicates of Pearson's Chi-square Statistic
tango

Tango's Statistic for General Clustering
kn.iscluster

Clustering Function for Kulldorff and Nagarwalla's Statistic
rmultin

Generate Random Observations from a Multinomial Distribution
DCluster

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