Clustering in Longitudinal Networks

ARI | Adjusted Rand Index (ARI) |

bootstrap_and_CI | Bootstrap and Confidence Interval |

classInd | Function for k-means |

confidenceInterval | Confidence Interval |

convertGroupPair | Convert group pair (q,l) |

convertNodePair | Convert node pair (i,j) |

correctTau | Handling of values of tau |

find_ql | Convert index into group pair |

find_ql_diff | Convert index into group pair in tauDown_Q |

generated_Q3 | Generated graph with 50 individuals and 3 clusters |

generated_Q3_n20 | Generated graph with 20 individuals and 3 clusters |

generated_sol_hist | Generated solution with histogram method |

generated_sol_kernel | Generated solution with kernel method |

generateDynppsbm | Data under dynppsbm |

generateDynppsbmConst | Data under dynppsbm with piecewise constant intensities |

generatePP | Poisson process |

generatePPConst | Poisson process with piecewise constant intensities |

JEvalMstep | Evaluation of criterion J |

kernelIntensities | Direct kernel estimator intensities |

listNodePairs | List node pairs |

mainVEM | Adaptative VEM algorithm |

mainVEMPar | VEM step for parallel version |

modelSelec_QPlot | Plots for model selection |

modelSelection_Q | Selects the number of groups with ICL |

Mstep_hist | M step for histograms |

Mstep_kernel | M step for kernel |

permuteZEst | Optimal matching between 2 clusterings |

sortIntensities | Sort intensities |

statistics | Compute statistics |

tauDown_Q | Construct initial tau from Q+1 |

tauInitial | List of initial values for tau |

tauKmeansSbm | k-means for SBM |

taurhoInitial | Sparse setup - rho parameter |

tauUpdate | Update tau |

tauUp_Q | Construct initial tau from Q-1 |

VEstep | VE step |

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