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 |