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) <doi:10.48550/arXiv.1804.04583> for a detailed description of the methods.
Version: 1.3.1 Depends: R (≥ 4.0.0), methods, Rcpp (≥ 0.9.4) Imports: network, parallel, ggplot2, reshape2, intergraph, Matrix LinkingTo: Rcpp, BH Suggests: testthat, inline, knitr, rmarkdown, ergm, BH, igraph Published: 2023-12-07 DOI: 10.32614/CRAN.package.lolog Author: Ian E. Fellows [aut, cre], Mark S. Handcock [ctb] Maintainer: Ian E. Fellows <ian at fellstat.com> License: MIT + file LICENCE URL: https://github.com/statnet/lolog NeedsCompilation: yes In views: NetworkAnalysis CRAN checks: lolog results Documentation: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=lolog to link to this page.
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