Man pages for aaamini/nett
Network Analysis and Community Detection
| adj_spec_test | Adjusted spectral test |
| bethe_hessian_select | Beth-Hessian model selection |
| compute_block_sums | Block sum of an adjacency matrix |
| compute_confusion_matrix | Compute confusion matrix |
| compute_mutual_info | Compute normalized mutual information (NMI) |
| estim_dcsbm | Estimate model parameters of a DCSBM |
| eval_dcsbm_bic | Compute BIC score |
| eval_dcsbm_like | Log likelihood of a DCSBM (fast with poi = TRUE) |
| eval_dcsbm_loglr | Log-likelihood ratio of two DCSBMs (fast with poi = TRUE) |
| extract_largest_cc | Extract largest component |
| extract_low_deg_comp | Extract low-degree component |
| fast_cpl | CPL algorithm for community detection (fast) |
| fast_sbm | Sample from a SBM (fast) |
| gen_rand_conn | Generate randomly permuted connectivity matrix |
| get_dcsbm_exav_deg | Calculate the expected average degree of a DCSBM |
| label_mat2vec | Convert label matrix to vector |
| label_vec2mat | Convert label vector to matrix |
| nac_test | NAC test |
| pipe | Pipe operator |
| plot_deg_dist | Plot degree distribution |
| plot_net | Plot a network |
| plot_roc | Plot ROC curves |
| plot_smooth_profile | Plot community profiles |
| polblogs | Political blogs network |
| pp_conn | Generate planted partition (PP) connectivity matrix |
| printf | The usual "printf" function |
| rsymperm | Generate random symmetric permutation matrix |
| sample_dcer | Sample from a DCER |
| sample_dclvm | Sample from a DCLVM |
| sample_dcpp | Sample from a DCPP |
| sample_dcsbm | Sample from a DCSBM |
| sample_tdcsbm | Sample truncated DCSBM (fast) |
| simulate_roc | Simulate data to estimate ROC curves |
| sinkhorn_knopp | Sinkhorn-Knopp matrix scaling |
| snac_resample | Resampled SNAC+ |
| snac_select | Estimate community number with SNAC+ |
| snac_test | SNAC test |
| spec_clust | Spectral clustering (fast) |
| spec_repr | Spectral Representation |
