Make crime series data
Make levels for merging category predictors
Make evidence variables from categorical crime data
Ficticious dataset of crime events
Make break points for binning continuous predictors
Crime series identification
Cacluate ROC like metrics.
Generate a list of crimes for a specific offender
Bayesian model-based partially-supervised clustering for crime series identification
Make spatial evidence variables
Ficticious offender data
plots 1D bayes factor
Expected absolute difference of two circular uniform RVs
Lookup the offenders responsible for a set of solved crimes
Creates evidence variables by calculating ‘distance’ between crime pairs
Naive bayes classifier using histograms and shrinkage
Generates indices of linked and unlinked crime pairs (with weights)
Follows path of one crime up a dendrogram
crimelinkage package: Statistical Methods for Crime Series Linkage
Generate a list of offenders and their associated crime series.
Make evidence variables from numeric crime data
Generate prediction (sum of log bayes factors) from a naiveBayes object
Creates transparent colors
Plot a hierarchical crime clustering object
Plots for Naive Bayes Model
Estimates the bayes factor for continous and categorical predictors.
Hierarchical Based Linkage
Generate a background plot
Agglomerative Hierarchical Crime Series Clustering
Expected absolute distance of a circular uniform RV to a point
Make temporal evidence variable from (possibly uncertain) temporal info
Generate prediction of a component bayes factor
Generates crime groups from crime series data
Extracts the crimes with the largest probability of being linked.
Expected absolute difference of two uniform RVs
Calculates time between two vectors of datetimes