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