lolog
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) <doi:10.48550/arXiv.1804.04583> for a detailed description of the methods.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.3.2 |
rolling linux/jammy R-4.5 | lolog_1.3.2.tar.gz |
1.6 MiB |
1.3.2 |
rolling linux/noble R-4.5 | lolog_1.3.2.tar.gz |
1.6 MiB |
1.3.2 |
rolling source/ R- | lolog_1.3.2.tar.gz |
832.5 KiB |
1.3.2 |
latest linux/jammy R-4.5 | lolog_1.3.2.tar.gz |
1.6 MiB |
1.3.2 |
latest linux/noble R-4.5 | lolog_1.3.2.tar.gz |
1.6 MiB |
1.3.2 |
latest source/ R- | lolog_1.3.2.tar.gz |
832.5 KiB |
1.3.2 |
2026-04-26 source/ R- | lolog_1.3.2.tar.gz |
832.5 KiB |
1.3.2 |
2026-04-23 source/ R- | lolog_1.3.2.tar.gz |
832.5 KiB |
1.3.2 |
2026-04-09 windows/windows R-4.5 | lolog_1.3.2.zip |
1.8 MiB |
1.3.1 |
2025-04-20 source/ R- | lolog_1.3.1.tar.gz |
835.6 KiB |