Fit and Simulate Generalised Hypergeometric Ensembles of Graphs

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Documentation for package ‘ghypernet’ version 1.1.0

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

Help Pages

adj2el	Maps adjacency matrix to edgelist
adj_karate	Zachary's Karate Club graph
as.ghype	Map list to ghype object
as.ghype.list	Map list to ghype object
as.ghype.nrm	Map list to ghype object
bccm	Fitting bccm models
BootstrapProperty	BootstrapProperty computes igraph analytics function on ensemble
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".
ComputeXi	Auxiliary function. Computes combinatorial matrix.
compute_xi	Auxiliary function. Computes combinatorial matrix.
conf.test	Test regular (gnp) vs configuration model
contacts.adj	Highschool contact network adjacency matrix
cospons_mat	Swiss MPs network adjacency matrix
coxsnellR2	Computes Cox and Snell pseudo R-squared for nrm models.
CreateIgGraphs	Convert a list of adjacency matrices to a list of igraph graphs.
createPredictors	Create a nrmpredictor object from passed argument
create_predictors	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.
FitOmega	Fit propensity matrix for full model
get_zero_dummy	Create a dummy variable to encode zero values of another variable.
ghype	Fitting gHypEG models
ghype.default	Fitting gHypEG models
ghype.igraph	Fitting gHypEG models
ghype.matrix	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.
JnBlock	Fisher Information matrix for estimators in block models.
linkSignificance	Estimate statistical deviations from ghype model
link_significance	Estimate statistical deviations from ghype model
logl	General method to compute log-likelihood for ghype models.
logl.ghype	General method to compute log-likelihood for ghype models.
logl.matrix	General method to compute log-likelihood for ghype models.
logLik.ghype	Extract Log-Likelihood
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	Fitting gHypEG regression models for multi-edge networks.
nrm.default	Fitting gHypEG regression models for multi-edge networks.
nrmChoose	Selects the best set of predictors among the given sets by means of AIC.
nrmSelection	Perform AIC forward selection for nrm.
nrm_choose	Selects the best set of predictors among the given sets by means of AIC.
nrm_selection	Perform AIC forward selection for nrm.
nrm_selection.default	Perform AIC forward selection for nrm.
nrm_selection.nrmpredictor	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
print.bccm	Fitting bccm models
print.ghype	Fitting gHypEG models
print.nrm	Fitting gHypEG regression models for multi-edge networks.
print.nrm_selection	Perform AIC forward selection for nrm.
print.summary.nrm	Summary method for elements of class "nrm".
print.summary.nrm_selection	Summary method for elements of class "nrm_selection".
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.
RMSE	Computes the Root Mean Squared Error
RMSLE	Computes the Root Mean Squared Logged Error
scm	Fit the Soft-Configuration Model
sharedPartner_stat	Calculate (un-)weighted shared partner change statistics for multi-edge graphs.
summary.nrm	Summary method for elements of class "nrm".
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