| as.BinaryNet | Convert to either an UndirectedNet or DirectedNet object |
| as.BinaryNet.default | Convert to either an UndirectedNet or DirectedNet object |
| as.network | Network conversion |
| as.network.Rcpp_DirectedNet | Convert a DirectedNet to a network object |
| as.network.Rcpp_UndirectedNet | Convert a UndirectedNet to a network object |
| BinaryNet | BinaryNet |
| calculateStatistics | Calculate network statistics from a formula |
| call-symbols | Internal Symbols |
| coef.lolog | Extracts estimated model coefficients. |
| createCppModel | Creates a model |
| createLatentOrderLikelihood | Creates a probability model for a latent ordered network model |
| DirectedLatentOrderLikelihood | LatentOrderLikelihood |
| DirectedModel | Models |
| DirectedNet | BinaryNet |
| gofit | Conduct goodness of fit diagnostics |
| gofit.lolog | Goodness of Fit Diagnostics for a LOLOG fit |
| initLologStatistics | Internal Symbols |
| inlineLologPlugin | An lolog plug-in for easy C++ prototyping and access |
| LatentOrderLikelihood | LatentOrderLikelihood |
| lazega | Collaboration Relationships Among Partners at a New England Law Firm |
| lolog | Fits a LOLOG model via Monte Carlo Generalized Method of Moments |
| lolog-terms | LOLOG Model Terms |
| LologModels | Models |
| lologPackageSkeleton | Create a skeleton for a package extending lolog |
| lologVariational | Fits a latent ordered network model using Monte Carlo variational inference |
| plot.gofit | Plots a gofit object |
| plot.lologGmm | Conduct Monte Carlo diagnostics on a lolog model fit |
| plot.Rcpp_DirectedNet | plot an DirectedNet object |
| plot.Rcpp_UndirectedNet | Plot an UndirectedNet object |
| print.gofit | prints a gofit object |
| print.lolog | Print a 'lolog' object |
| print.lologVariationalFit | Print of a lologVariationalFit object |
| Rcpp_DirectedLatentOrderLikelihood-class | LatentOrderLikelihood |
| Rcpp_DirectedModel-class | Models |
| Rcpp_DirectedNet-class | BinaryNet |
| Rcpp_UndirectedLatentOrderLikelihood-class | LatentOrderLikelihood |
| Rcpp_UndirectedModel-class | Models |
| Rcpp_UndirectedNet-class | BinaryNet |
| registerDirectedOffset | Register Statistics |
| registerDirectedStatistic | Register Statistics |
| registerUndirectedOffset | Register Statistics |
| registerUndirectedStatistic | Register Statistics |
| runLologCppTests | Internal Symbols |
| simulate.lolog | Generates BinaryNetworks from a fit lolog object |
| summary.lolog | Summary of a 'lolog' object |
| ukFaculty | Friendship network of a UK university faculty |
| UndirectedLatentOrderLikelihood | LatentOrderLikelihood |
| UndirectedModel | Models |
| UndirectedNet | BinaryNet |
| [ | indexing |
| [-method | indexing |
| [<- | indexing |
| [<--method | indexing |
| \S4method{[<-}{Rcpp_DirectedNet,ANY,ANY,ANY} | indexing |
| \S4method{[<-}{Rcpp_UndirectedNet,ANY,ANY,ANY} | indexing |
| \S4method{[}{Rcpp_DirectedNet,ANY,ANY,ANY} | indexing |
| \S4method{[}{Rcpp_UndirectedNet,ANY,ANY,ANY} | indexing |
| _lolog_initStats | Internal Symbols |
| _rcpp_module_boot_lolog | Internal Symbols |