Man pages for joheli/yea13
Identification of Putative Clusters in Surveillance Data According to Algorithm by Ypma et al. 2013
| 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 |
| mst | Minimum spanning tree |
| 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 |
