DirectedNet-class       DirectedNet class
FullErnmModel           creates an ERNM likelihood model
MissingErnmModel        Creates an ERNM likelihood model with missing
                        data
UndirectedNet-class     UndirectedNet class
as.network.Rcpp_UndirectedNet
                        Convert an Rcpp_UndirectedNet to a network
                        object
calculateStatistics     Calculate network statistics
coef.ernm               Access ERNM parameters
createCppModel          Creates a C++ representation of an ERNM model
createCppSampler        Create a C++ MCMC sampler
dutch_school            Dutch School Data
ernm                    Fits an ERNM model
ernm-formula            ERNM formula
ernm-terms              ERNM model terms
ernmFit                 Fit an ernm
ernmPackageSkeleton     Create an ERNM package skeleton
ernm_gof                Goodness of fit for ERNM model
extract-methods         Subsetting and assignment for ernm network
                        objects
fullErnmLikelihood      Likelihood for a fully observed ernm
logLik.ernm             MCMC approximate log-likelihood
marErnmLikelihood       Likelihood for an ernm with missing data
mcmcEss                 MCMC effective sample size
mcmcse                  MCMC standard error by batch
plot.ernm               Plot an ernm object
print.ErnmSummary       Print a ERNM summary object
print.ernm              Print ernm object
samplike                Sampson's Monks Data
simulateStatistics      Simulate statistics
summary.ernm            Summary for ernm object
taperedErnmLikelihood   Ernm likelihood for a TaperedModel
vcov.ernm               Parameter covariance matrix
