Latent Order Logistic Graph Models

Estimation of Latent Order Logistic (LOLOG) Models for Networks. LOLOGs are a flexible and fully general class of statistical graph models. This package provides functions for performing MOM, GMM and variational inference. Visual diagnostics and goodness of fit metrics are provided. See Fellows (2018) for a detailed description of the methods.


Reference manual

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install.packages("lolog")

1.3.2 by Ian E. Fellows, a year ago


https://github.com/statnet/lolog


Browse source code at https://github.com/cran/lolog


Authors: Ian E. Fellows [aut, cre] , Mark S. Handcock [ctb]


Documentation:   PDF Manual  


MIT + file LICENCE license


Imports network, parallel, ggplot2, reshape2, intergraph, Matrix

Depends on methods, Rcpp

Suggests testthat, inline, knitr, rmarkdown, ergm, BH, igraph

Linking to Rcpp, BH


Imported by MinTriadic.


See at CRAN