BHMC.estimate           Estimates the number of communities under block
                        models by the spectral methods
BlockModel.Gen          Generates networks from degree corrected
                        stochastic block model
ConsensusClust          clusters nodes by concensus (majority voting)
                        initialized by regularized spectral clustering
DCSBM.estimate          Estimates DCSBM model
ECV.Rank                estimates optimal low rank model for a network
ECV.block               selecting block models by ECV
ECV.nSmooth.lowrank     selecting tuning parameter for neighborhood
                        smoothing estimation of graphon model
LRBIC                   selecting number of communities by asymptotic
                        likelihood ratio
NCV.select              selecting block models by NCV
NMI                     calculates normalized mutual information
RDPG.Gen                generates random networks from random dot
                        product graph model
SBM.estimate            estimates SBM parameters given community labels
nSmooth                 estimates probabilty matrix by neighborhood
                        smoothing
randnet-package         Statistical modeling of random networks with
                        model selection and parameter tuning
reg.SP                  clusters nodes by regularized spectral
                        clustering
reg.SSP                 detects communities by regularized spherical
                        spectral clustering
