Identification of Putative Clusters in Surveillance Data According to Algorithm by Ypma et al.

cluster.search | Search for putative clusters |

diss | Transform distance or dissimilarity object to Ypma... |

e_cloacae | Surveillance dataset of Enterobacter cloacae |

graph2effdist | Calculate effective distances between nodes of a graph |

k_pneumoniae | Surveillance dataset of Klebsiella pneumoniae |

mx.expand | Expand a square dissimilarity matrix |

s_aureus | Surveillance dataset of Staphylococcus aureus |

units_effdist | Matrix of effective distances between wards. |

units_igraph | Network graph of 78 units of a hospital trust consisting of... |

y.clust | Identify putative clusters |

ypma.diss | Calculate Ypma dissimilarities for type, time, and unit |

zero.noise | Add random noise to zero values in square matrix |

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