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 |