DCluster0.2-10 package

Functions for the Detection of Spatial Clusters of Diseases

pkg-internal

Internal Functions in the DCluster Package.

pottwhitt.boot

Bootstrap Replicates of Potthoff-Whittinghill's Statistic

achisq.boot

Bootstrap Replicates of Pearson's Chi-square Statistic

achisq

Another Implementation of Pearson's Chi-square Statistic

achisq.stat

Another Implementation of Pearson's Chi-square Statistic

besagnewell.boot

Generate Boostrap Replicates of Besag and Newell's Statistic

besagnewell

Besag and Newell's Statistic for Spatial Clustering

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 ...

dcluster.test

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

dean_test

Likelihood Ratio Test and Dean's Tests for Overdispertion

empbaysmooth

Empirical Bayes Smoothing

gearyc.boot

Generate Bootstrap Replicates of Geary's C Autocorrelation Statistic

gearyc

Geary's C Autocorrelation Statistic

gearyc.stat

Compute Geary's C Autocorrelation Statistic

get.knclusters

Get Areas in a Cluster Detected with Kulldorff's Statistic

kn.iscluster

Clustering Function for Kulldorff and Nagarwalla's Statistic

kullnagar.boot

Generate Bootstrap Replicates of Kulldorff and Nagarwalla's Statistic

kullnagar

Kulldorff and Nagarwalla's Statistic for Spatial Clustering.

kullnagar.stat

Kulldorff and Nagarwalla's Statistic for Spatial Clustering.

lognormalEB

Empirical Bayes Smoothing Using a log-Normal Model

moranI.boot

Generate Bootstrap Replicates of Moran's I Autocorrelation Statistic

moranI

Moran's I Autocorrelation Statistic

moranI.stat

Compute Moran's I Autocorrelation Statistic

observed.sim

Randomly Generate Observed Cases from Different Statistical Distributi...

opgam.iscluster.default

Local Clustering Test Function

opgam

Openshaw's GAM

pottwhitt

Potthoff-Whittinghill's Statistic for Overdispersion

pottwhitt.stat

Compute Potthoff-Whittinghill's Statistic

readSplus

Read exported WinBUGS maps

rmultin

Generate Random Observations from a Multinomial Distribution

sp2WB

Export SpatialPolygons object as S-Plus map for WinBUGS

stone.boot

Generate Boostrap Replicates of Stone's Statistic

stone

Stone's Test

stone.stat

Compute Stone's Statistic

tango.boot

Generate Bootstrap Replicated of Tango's Statistic

tango

Tango's Statistic for General Clustering

tango.stat

Compute Tango's Statistic for General Clustering

whittermore.boot

Generate Bootstrap Replicates of Whittermore's Statistic

whittermore

Whittermore's Statistic

whittermore.stat

Compute Whittermore's Statistic

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

  • Maintainer: Virgilio Gómez-Rubio
  • License: GPL (>= 2)
  • Last published: 2024-02-05