crimelinkage: Statistical Methods for Crime Series Linkage
Version 0.0.4

Statistical Methods for Crime Series Linkage. This package provides code for criminal case linkage, crime series identification, crime series clustering, and suspect identification.

AuthorMichael Porter [aut, cre], Brian Reich [aut]
Date of publication2015-09-19 19:50:30
MaintainerMichael Porter <mporter@cba.ua.edu>
LicenseGPL-3
Version0.0.4
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("crimelinkage")

Getting started

Package overview
Crime Series Identification and Clustering"
Statistical Methods for Crime Series Linkage"

Popular man pages

catLevels: Make levels for merging category predictors
clusterPath: Follows path of one crime up a dendrogram
crimeClust_bayes: Bayesian model-based partially-supervised clustering for...
crimeClust_hier: Agglomerative Hierarchical Crime Series Clustering
getD: Expected absolute distance of a circular uniform RV to a...
naiveBayes: Naive bayes classifier using histograms and shrinkage
plotBF: plots 1D bayes factor
See all...

All man pages Function index File listing

Man pages

bayesPairs: Extracts the crimes with the largest probability of being...
catLevels: Make levels for merging category predictors
clusterPath: Follows path of one crime up a dendrogram
color: Creates transparent colors
compareCategorical: Make evidence variables from categorical crime data
compareCrimes: Creates evidence variables by calculating 'distance' between...
compareNumeric: Make evidence variables from numeric crime data
compareSpatial: Make spatial evidence variables
compareTemporal: Make temporal evidence variable from (possibly uncertain)...
crimeClust_bayes: Bayesian model-based partially-supervised clustering for...
crimeClust_hier: Agglomerative Hierarchical Crime Series Clustering
crimelinkage-package: 'crimelinkage' package: Statistical Methods for Crime Series...
crimes: Ficticious dataset of crime events
dtdiff: Calculates time between two vectors of datetimes
expAbsDiff: Expected absolute difference of two uniform RVs
expAbsDiff.circ: Expected absolute difference of two circular uniform RVs
getBF: Estimates the bayes factor for continous and categorical...
getCrimes: Generate a list of crimes for a specific offender
getCrimeSeries: Generate a list of offenders and their associated crime...
getCriminals: Lookup the offenders responsible for a set of solved crimes
getD: Expected absolute distance of a circular uniform RV to a...
getROC: Cacluate ROC like metrics.
linkage: Hierarchical Based Linkage
make.breaks: Make break points for binning continuous predictors
makeGroups: Generates crime groups from crime series data
makePairs: Generates indices of linked and unlinked crime pairs (with...
makeSeriesData: Make crime series data
naiveBayes: Naive bayes classifier using histograms and shrinkage
offenders: Ficticious offender data
plotBF: plots 1D bayes factor
plotBKG: Generate a background plot
plot_hcc: Plot a hierarchical crime clustering object
plot.naiveBayes: Plots for Naive Bayes Model
predictBF: Generate prediction of a component bayes factor
predict.naiveBayes: Generate prediction (sum of log bayes factors) from a...
seriesID: Crime series identification

Functions

bayesPairs Man page Source code
bayesProb Man page Source code
catLevels Man page Source code
clusterPath Man page Source code
color Man page Source code
compareCategorical Man page Source code
compareCrimes Man page Source code
compareNumeric Man page Source code
compareSpatial Man page Source code
compareTemporal Man page Source code
crimeClust_bayes Man page Source code
crimeClust_hier Man page Source code
crimelinkage Man page
crimelinkage-package Man page
crimes Man page
dtdiff Man page Source code
expAbsDiff Man page Source code
expAbsDiff.circ Man page Source code
getBF Man page Source code
getCrimeSeries Man page Source code
getCrimes Man page Source code
getCriminals Man page Source code
getD Man page Source code
getROC Man page Source code
linkage Man page Source code
make.breaks Man page Source code
makeGroups Man page Source code
makeLinked Man page Source code
makePairs Man page Source code
makeSeriesData Man page Source code
makeUnlinked Man page Source code
naiveBayes Man page Source code
naiveBayes.fit Man page Source code
offenders Man page
plot.naiveBayes Man page Source code
plotBF Man page Source code
plotBKG Man page Source code
plot_hcc Man page Source code
predict.naiveBayes Man page Source code
predictBF Man page Source code
rankBF Source code
seriesID Man page Source code

Files

inst
inst/CITATION
inst/extdata
inst/extdata/offenders.csv
inst/extdata/crimes.csv
inst/doc
inst/doc/crimeclustering.R
inst/doc/crimelinkage.R
inst/doc/crimelinkage.Rmd
inst/doc/crimeclustering.html
inst/doc/crimeclustering.Rmd
inst/doc/crimelinkage.html
NAMESPACE
NEWS
data
data/crimes.rda
data/offenders.rda
R
R/seriesIDFunctions.R
R/crimelinkage.R
R/bayes_clustering.R
R/compareCrimes.R
R/caseUtils.R
R/naivebayes.R
R/hierclustering.R
R/datasets.R
vignettes
vignettes/refs.bib
vignettes/crimelinkage.Rmd
vignettes/crimeclustering.Rmd
vignettes/MCMC-results.RData
MD5
build
build/vignette.rds
DESCRIPTION
man
man/plot_hcc.Rd
man/catLevels.Rd
man/linkage.Rd
man/compareTemporal.Rd
man/offenders.Rd
man/expAbsDiff.circ.Rd
man/compareCrimes.Rd
man/compareCategorical.Rd
man/compareSpatial.Rd
man/crimelinkage-package.Rd
man/predictBF.Rd
man/plotBKG.Rd
man/make.breaks.Rd
man/plot.naiveBayes.Rd
man/getCrimeSeries.Rd
man/bayesPairs.Rd
man/crimeClust_bayes.Rd
man/getD.Rd
man/dtdiff.Rd
man/makeGroups.Rd
man/expAbsDiff.Rd
man/naiveBayes.Rd
man/getBF.Rd
man/compareNumeric.Rd
man/crimes.Rd
man/makeSeriesData.Rd
man/clusterPath.Rd
man/seriesID.Rd
man/getROC.Rd
man/color.Rd
man/makePairs.Rd
man/getCrimes.Rd
man/plotBF.Rd
man/getCriminals.Rd
man/crimeClust_hier.Rd
man/predict.naiveBayes.Rd
crimelinkage documentation built on May 19, 2017, 1 p.m.

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