BootstrapProperty()

BootstrapProperty computes igraph analytics function on ensemble 
ComputeXi()

Auxiliary function. Computes combinatorial matrix. 
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' . 
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 Rsquared for nrm models. 
createPredictors()

Create a nrmpredictor object from passed argument 
createPredictors(<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. 
ghype() print(<ghype>)

Fitting gHypEG models 
gof.test()

Perform a goodnessoffit test 
highschool.multiplex

Highschool contact network multiplex representation 
highschool.predictors

Highschool contact network predictors 
homophily_stat()

Calculate homophily in multiedge graphs. 
isNetwork()

Test null model vs full ghype. 
linkSignificance()

Estimate statistical deviations from ghype model 
logLik(<ghype>)

Extract LogLikelihood 
logl()

General method to compute loglikelihood for ghype models. 
loglratio()

Compute loglikelihood 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 Rsquared. 
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 multiedge networks. 
nrm_choose()

Selects the best set of predictors among the given sets by means of AIC. 
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 multiedge 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 SoftConfiguration Model 
sharedPartner_stat()

Calculate (un)weighted shared partner change statistics for multiedge 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 