Statistical Methods for Crime Series Linkage


[Up] [Top]

Documentation for package ‘crimelinkage’ version 0.0.4

Help Pages

crimelinkage-package 'crimelinkage' package: Statistical Methods for Crime Series Linkage
bayesPairs Extracts the crimes with the largest probability of being linked.
bayesProb Extracts the crimes with the largest probability of being linked.
clusterPath Follows path of one crime up a dendrogram
compareCrimes Creates evidence variables by calculating 'distance' between crime pairs
crimeClust_bayes Bayesian model-based partially-supervised clustering for crime series identification
crimeClust_hier Agglomerative Hierarchical Crime Series Clustering
crimelinkage 'crimelinkage' package: Statistical Methods for Crime Series Linkage
crimes Ficticious dataset of crime events
getBF Estimates the bayes factor for continous and categorical predictors.
getCrimes Generate a list of crimes for a specific offender
getCrimeSeries Generate a list of offenders and their associated crime series.
getCriminals Lookup the offenders responsible for a set of solved crimes
getROC Cacluate ROC like metrics.
linkage Hierarchical Based Linkage
makeGroups Generates crime groups from crime series data
makeLinked Generates indices of linked and unlinked crime pairs (with weights)
makePairs Generates indices of linked and unlinked crime pairs (with weights)
makeSeriesData Make crime series data
makeUnlinked Generates indices of linked and unlinked crime pairs (with weights)
naiveBayes Naive bayes classifier using histograms and shrinkage
naiveBayes.fit Naive bayes classifier using histograms and shrinkage
offenders Ficticious offender data
plot.naiveBayes Plots for Naive Bayes Model
plotBF plots 1D bayes factor
plot_hcc Plot a hierarchical crime clustering object
predict.naiveBayes Generate prediction (sum of log bayes factors) from a 'naiveBayes' object
predictBF Generate prediction of a component bayes factor
seriesID Crime series identification