R: Network Analysis and Community Detection

# Network Analysis and Community Detection

## Documentation for package ‘nett’ version 1.0.0

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package README

## Help Pages

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
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