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 [issues need fixing before 2025-09-03] |
| Reference manual: | lolog.html , lolog.pdf |
| Vignettes: |
An Example Analysis Using lolog (source, R code) An Introduction to LOLOG Network Models (source, R code) |
| Package source: | lolog_1.3.1.tar.gz |
| Windows binaries: | r-devel: lolog_1.3.1.zip, r-release: lolog_1.3.1.zip, r-oldrel: lolog_1.3.1.zip |
| macOS binaries: | r-release (arm64): lolog_1.3.1.tgz, r-oldrel (arm64): lolog_1.3.1.tgz, r-release (x86_64): lolog_1.3.1.tgz, r-oldrel (x86_64): lolog_1.3.1.tgz |
| Old sources: | lolog archive |
| Reverse imports: | MinTriadic |
| Reverse linking to: | MinTriadic |
Please use the canonical form https://CRAN.R-project.org/package=lolog to link to this page.