Clustering in Longitudinal Networks
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Documentation for package ‘ppsbm’ version 0.2.2
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| 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 |
| generateDynppsbm | Data under dynppsbm |
| generateDynppsbmConst | Data under dynppsbm with piecewise constant intensities |
| 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 |
| 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 |
| modelSelection_Q | Selects the number of groups with ICL |
| modelSelec_QPlot | Plots for model selection |
| 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 |