Statistical Methods for Crime Series Linkage. This package provides code for criminal case linkage, crime series identification, crime series clustering, and suspect identification.
|Author||Michael Porter [aut, cre], Brian Reich [aut]|
|Date of publication||2015-09-19 19:50:30|
|Maintainer||Michael Porter <firstname.lastname@example.org>|
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