Man pages for noisySBM
Noisy Stochastic Block Mode: Graph Inference by Multiple Testing

addRowToTausplit group q of provided tau randomly into two into
ARIEvalute the adjusted Rand index
classIndconvert a clustering into a 0-1-matrix
convertGroupPairtransform a pair of block identifiers (q,l) into an...
convertGroupPairIdentifiertakes a scalar indice of a group pair (q,l) and returns the...
convertNodePairtransform a pair of nodes (i,j) into an identifying integer
correctTaucorrects values of the variational parameters tau that are...
emv_gammacompute the MLE in the Gamma model using the Newton-Raphson...
fitNSBMVEM algorithm to adjust the noisy stochastic block model to...
getBestQoptimal number of SBM blocks
getRhocompute rho associated with given values of w, nu0 and nu
getTauqlEvaluate tau_q*tau_l in the noisy stochastic block model
graphInferencenew graph inference procedure
ICL_Qcomputation of the Integrated Classification Likelihood...
initialPointscompute a list of initial points for the VEM algorithm
initialPointsByMergeConstruct initial values with Q groups by meging groups of a...
initialPointsBySplitConstruct initial values with Q groups by splitting groups of...
initialRhocompute initial values of rho
initialTaucompute intial values for tau
JEvalMstepevaluation of the objective in the Gauss model
J.gammaevaluate the objective in the Gamma model
listNodePairsreturns a list of all possible node pairs (i,j)
lvaluesNSBMcompute conditional l-values in the noisy stochastic block...
mainVEM_Qmain function of VEM algorithm with fixed number of SBM...
mainVEM_Q_parmain function of VEM algorithm for fixed number of latent...
modelDensityevaluate the density in the current model
MstepM-step
plotGraphsplot the data matrix, the inferred graph and/or the true...
plotICLplot ICL curve
q_delta_qlauxiliary function for the computation of q-values
qvaluesNSBMcompute q-values in the noisy stochastic block model
res_expOutput of fitNSBM() on a dataset applied in the exponential...
res_gammaOutput of fitNSBM() on a dataset applied in the Gamma NSBM
res_gaussOutput of fitNSBM() on a dataset applied in the Gaussian NSBM
rnsbmsimulation of a graph according the noisy stochastic block...
spectralClusteringspectral clustering with absolute values
tauDownCreate new initial values by merging pairs of groups of...
tauUpCreate new values of tau by splitting groups of provided tau
tauUpdateCompute one iteration to solve the fixed point equation in...
update_newton_gammaPerform one iteration of the Newton-Raphson to compute the...
VEstepVE-step
noisySBM documentation built on Dec. 16, 2020, 5:09 p.m.