BinaryNet               BinaryNet
DirectedNet-class       DirectedNet Class
ErnmModels              Models
ErnmSamplers            Metropolis Samplers
FullErnmModel           creates an ERNM likelihood model
MissingErnmModel        creates an ERNM likelihood model
UndirectedNet-class     UndirectedNet Class
as.BinaryNet            Convert a network to either an UndirectedNet or
                        DirectedNet object
as.network.DirectedNet
                        Conversion to network object
as.network.Rcpp_DirectedNet
                        Convert and Rcpp_DirectedNet to a network
                        object
as.network.Rcpp_UndirectedNet
                        Convert an Rcpp_UndirectedNet to a network
                        object
as.network.UndirectedNet
                        Conversion to network object
calculateStatistics     calculate model statistics from a formula
call-symbols            Internal Symbols
coef.ernm               Access ERNM parameters
createCppModel          Creates a model
createCppSampler        Create a sampler
dutch_school            Dutch School Data
ernm                    Fits an ERNM model
ernmFit                 Fit an ernm
ernmPackageSkeleton     Create an ERNM Package Skeleton
ernm_gof                Goodness of fit for ERNM model
extract-methods         Subsetting and assignment for Net objects
fullErnmLikelihood      likelihood for a fully observed ernm
marErnmLikelihood       likelihood for an ernm with missing data
mcmcEss                 MCMC Effective Sample Size
mcmcse                  MCMC Standard Error by Batch
plot.Rcpp_DirectedNet   Plot an Rcpp_UnirectedNet object
plot.Rcpp_UndirectedNet
                        Plot an UndirectedNet object
plot.ernm               Plot an ernm object
print.ernm              Print ernm object
registerDirectedStatistic
                        Register Statistics
register_rcpp_net_methods
                        Register setter methods for Rcpp net objeccts
runErnmCppTests         runErnmCppTests
samplike                Sampson's Monks Data
simulateStatistics      Simulate statistics
summary.ernm            Summary for ernm object
taperedErnmLikelihood   (E(g(X)) - g(x_o)^2 for TaperedModel
vcov.ernm               Parameter covariance matrix
