All functions 


BootstrapProperty computes igraph analytics function on ensemble 

Convert a list of adjacency matrices to a list of igraph graphs. 

Fit propensity matrix for full model 

Fisher Information matrix for estimators in block models. 

Computes the Root Mean Squared Error 

Computes the Root Mean Squared Logged Error 

Maps adjacency matrix to edgelist 

Zachary's Karate Club graph 

Map list to ghype object 

Fitting bccm models 

Check graph input type (for whether it's a graph or a edgelist). 

Extraction method for coefficients of models of class 

Auxiliary function. Computes combinatorial matrix. 

Test regular (gnp) vs configuration model 

Highschool contact network adjacency matrix 

Swiss MPs network adjacency matrix 

Computes Cox and Snell pseudo Rsquared for nrm models. 

Create a nrmpredictor object from passed argument 

Create a nrmpredictor object from list 

Swiss MPs attribute data frame. 

Swiss MPs committee affiliation data frame. 

Maps edgelist to adjacency matrix 

Extract details from statistical models for table construction. The function has methods for a range of statistical models. 

Create a dummy variable to encode zero values of another variable. 

Fitting gHypEG models 

Perform a goodnessoffit test 

Highschool contact network multiplex representation 

Highschool contact network predictors 

Calculate homophily in multiedge graphs. 

Test null model vs full ghype. 

Estimate statistical deviations from ghype model 

Extract LogLikelihood 

General method to compute loglikelihood for ghype models. 

Compute loglikelihood ratio for ghype models. 

Perform likelihood ratio test between two ghype models. 

Auxiliary function, gives mask for matrix for directed, undirected etc. 

Computes Mc Fadden pseudo Rsquared. 

Confidence intervals for nrm models. 

Computes the significance of more complex model against a simpler model by means of a likelihood ratio test. 

Fitting gHypEG regression models for multiedge networks. 

Selects the best set of predictors among the given sets by means of AIC. 

Perform AIC forward selection for nrm. 

Swiss MPs committee similarity matrix. 

Method to predict the expected values of a nrm model 

Calculate weighted reciprocity change statistics for multiedge graphs. 

Fit the gnm model 

Method to compute residuals of nrm models 

Generate random realisations from ghype model. 

Fit the SoftConfiguration Model 

Calculate (un)weighted shared partner change statistics for multiedge graphs. 

Summary method for elements of class 

Summary method for elements of class 

Auxiliary function, produces matrix from vector 

Zachary's Karate Club vertex faction assignment 