# Exponential-Family Random Network Models

## Documentation for package ‘ernm’ version 1.0.2

- DESCRIPTION file.

## Help Pages

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
BinaryNet | BinaryNet
calculateStatistics | calculate model statistics from a formula
call-symbols | Internal Symbols
coef.ernm | Access ERNM parameters
createCppModel | Creates a model
createCppSampler | Create a sampler
DirectedCdSampler | Metropolis Samplers
DirectedGibbsCdSampler | Metropolis Samplers
DirectedGibbsCdSampler2 | Metropolis Samplers
DirectedMetropolisHastings | Metropolis Samplers
DirectedModel | Models
DirectedNet | BinaryNet
DirectedNet-class | DirectedNet Class
DirectedTaperedModel | Models
dutch_school | Dutch School Data
ernm | Fits an ERNM model
ernmFit | Fit an ernm
ErnmModels | Models
ernmPackageSkeleton | Create an ERNM Package Skeleton
ErnmSamplers | Metropolis Samplers
ernm_gof | Goodness of fit for ERNM model
extract-methods | Subsetting and assignment for Net objects
fullErnmLikelihood | likelihood for a fully observed ernm
FullErnmModel | creates an ERNM likelihood model
initLatent | Internal Symbols
marErnmLikelihood | likelihood for an ernm with missing data
mcmcEss | MCMC Effective Sample Size
mcmcse | MCMC Standard Error by Batch
MissingErnmModel | creates an ERNM likelihood model
plot.ernm | Plot an ernm object
plot.Rcpp_DirectedNet | Plot an Rcpp_UnirectedNet object
plot.Rcpp_UndirectedNet | Plot an UndirectedNet object
print.ernm | Print ernm object
Rcpp_DirectedCdSampler-class | Metropolis Samplers
Rcpp_DirectedGibbsCdSampler-class | Metropolis Samplers
Rcpp_DirectedGibbsCdSampler2-class | Metropolis Samplers
Rcpp_DirectedMetropolisHastings-class | Metropolis Samplers
Rcpp_DirectedModel-class | Models
Rcpp_DirectedNet-class | BinaryNet
Rcpp_DirectedTaperedModel-class | Models
Rcpp_UndirectedCdSampler-class | Metropolis Samplers
Rcpp_UndirectedGibbsCdSampler-class | Metropolis Samplers
Rcpp_UndirectedGibbsCdSampler2-class | Metropolis Samplers
Rcpp_UndirectedMetropolisHastings-class | Metropolis Samplers
Rcpp_UndirectedModel-class | Models
Rcpp_UndirectedNet-class | BinaryNet
Rcpp_UndirectedTaperedModel-class | Models
registerDirectedOffset | Register Statistics
registerDirectedStatistic | Register Statistics
registerUndirectedOffset | Register Statistics
registerUndirectedStatistic | Register Statistics
register_rcpp_net_methods | Register setter methods for Rcpp net objeccts
runErnmCppTests | runErnmCppTests
samplike | Sampson's Monks Data
sampson | Sampson's Monks Data
simulateStatistics | Simulate statistics
summary.ernm | Summary for ernm object
taperedErnmLikelihood | (E(g(X)) - g(x_o)^2 for TaperedModel
UndirectedCdSampler | Metropolis Samplers
UndirectedGibbsCdSampler | Metropolis Samplers
UndirectedGibbsCdSampler2 | Metropolis Samplers
UndirectedMetropolisHastings | Metropolis Samplers
UndirectedModel | Models
UndirectedNet | BinaryNet
UndirectedNet-class | UndirectedNet Class
UndirectedTaperedModel | Models
vcov.ernm | Parameter covariance matrix
[-method | Subsetting and assignment for Net objects
[<--method | Subsetting and assignment for Net objects
_ernm_initStats | Internal Symbols
_ernm_initToggles | Internal Symbols
_rcpp_module_boot_ernm | Internal Symbols