Function reference • ghypernet

All functions
`BootstrapProperty()`	BootstrapProperty computes igraph analytics function on ensemble
`CreateIgGraphs()`	Convert a list of adjacency matrices to a list of igraph graphs.
`FitOmega()`	Fit propensity matrix for full model
`JnBlock()`	Fisher Information matrix for estimators in block models.
`RMSE()`	Computes the Root Mean Squared Error
`RMSLE()`	Computes the Root Mean Squared Logged Error
`adj2el()`	Maps adjacency matrix to edgelist
`adj_karate`	Zachary's Karate Club graph
`as.ghype()`	Map list to ghype object
`bccm()` `print(<bccm>)`	Fitting bccm models
`checkGraphtype()`	Check graph input type (for whether it's a graph or a edgelist).
`coef(<nrm>)`	Extraction method for coefficients of models of class `'nrm'`.
`compute_xi()` `ComputeXi()`	Auxiliary function. Computes combinatorial matrix.
`conf.test()`	Test regular (gnp) vs configuration model
`highschool.predictors`	Highschool contact network adjacency matrix
`cospons_mat`	Swiss MPs network adjacency matrix
`coxsnellR2()`	Computes Cox and Snell pseudo R-squared for nrm models.
`create_predictors()` `createPredictors()`	Create a nrmpredictor object from passed argument
`create_predictors(<list>)`	Create a nrmpredictor object from list
`dt`	Swiss MPs attribute data frame.
`dtcommittee`	Swiss MPs committee affiliation data frame.
`el2adj()`	Maps edgelist to adjacency matrix
`extract.nrm.cluster()`	Extract details from statistical models for table construction. The function has methods for a range of statistical models.
`get_zero_dummy()`	Create a dummy variable to encode zero values of another variable.
`ghype()` `print(<ghype>)`	Fitting gHypEG models
`gof.test()`	Perform a goodness-of-fit test
`highschool.multiplex`	Highschool contact network multiplex representation
`highschool.predictors`	Highschool contact network predictors
`homophily_stat()`	Calculate homophily in multi-edge graphs.
`isNetwork()`	Test null model vs full ghype.
`linkSignificance()` `link_significance()`	Estimate statistical deviations from ghype model
`logLik(<ghype>)`	Extract Log-Likelihood
`logl()`	General method to compute log-likelihood for ghype models.
`loglratio()`	Compute log-likelihood ratio for ghype models.
`lr.test()`	Perform likelihood ratio test between two ghype models.
`mat2vec.ix()`	Auxiliary function, gives mask for matrix for directed, undirected etc.
`mcfaddenR2()`	Computes Mc Fadden pseudo R-squared.
`nr.ci()`	Confidence intervals for nrm models.
`nr.significance()`	Computes the significance of more complex model against a simpler model by means of a likelihood ratio test.
`nrm()` `print(<nrm>)`	Fitting gHypEG regression models for multi-edge networks.
`nrmChoose()` `nrm_choose()`	Selects the best set of predictors among the given sets by means of AIC.
`nrmSelection()` `nrm_selection()` `print(<nrm_selection>)`	Perform AIC forward selection for nrm.
`onlinesim_mat`	Swiss MPs committee similarity matrix.
`predict(<nrm>)`	Method to predict the expected values of a nrm model
`reciprocity_stat()`	Calculate weighted reciprocity change statistics for multi-edge graphs.
`regularm()`	Fit the gnm model
`residuals(<nrm>)`	Method to compute residuals of nrm models
`rghype()`	Generate random realisations from ghype model.
`scm()`	Fit the Soft-Configuration Model
`sharedPartner_stat()`	Calculate (un-)weighted shared partner change statistics for multi-edge graphs.
`summary(<nrm>)` `print(<summary.nrm>)`	Summary method for elements of class `'nrm'`.
`summary(<nrm_selection>)` `print(<summary.nrm_selection>)`	Summary method for elements of class `'nrm_selection'`.
`vec2mat()`	Auxiliary function, produces matrix from vector
`vertexlabels`	Zachary's Karate Club vertex faction assignment

Reference

All functions