bayesPairs              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-package    'crimelinkage' package: Statistical Methods for
                        Crime Series Linkage
crimes                  Ficticious dataset of crime events
getBF                   Estimates the bayes factor for continous and
                        categorical predictors.
getCrimeSeries          Generate a list of offenders and their
                        associated crime series.
getCrimes               Generate a list of crimes for a specific
                        offender
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
makePairs               Generates indices of linked and unlinked crime
                        pairs (with weights)
makeSeriesData          Make crime series data
naiveBayes              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
