R: Latent Order Logistic Graph Models

# Latent Order Logistic Graph Models

## Documentation for package ‘lolog’ version 1.3.2

- DESCRIPTION file
- User guides, package vignettes and other documentation

## Help Pages

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