Exponential-Family Random Network Models
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Documentation for package ‘ernm’ version 1.0.0
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| as.BinaryNet | convert and network to either an UndirectedNet or DirectedNet object |
| as.network.DirectedNet | convert and DirectedNet to a network object |
| as.network.UndirectedNet | convert and UndirectedNet to a network object |
| BinaryNet | BinaryNet |
| calculateStatistics | calculate model statistics from a formula |
| call-symbols | Internal Symbols |
| 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 model |
| ErnmModels | Models |
| ernmPackageSkeleton | Create an ERNM Package Skeleton |
| ErnmSamplers | Metropolis Samplers |
| ernm_gof | |
| 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.DirectedNet | plot an DirectedNet object |
| plot.ernm | plot an ernm object |
| plot.UndirectedNet | plot an UndirectedNet object |
| print.ernm | |
| 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 |
| runErnmCppTests | runErnmCppTests |
| samplike | Sampson's Monks Data |
| sampson | Sampson's Monks Data |
| simulateStatistics | simulate statistics |
| summary.ernm | summary |
| 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 |