lolog
Latent Order Logistic Graph Models
v1.3.2
·
Sep 3, 2025
·
MIT + file LICENCE
Description
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.
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| r-devel-linux-x86_64-fedora-gcc | OK |
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| r-devel-windows-x86_64 | OK |
| r-oldrel-macos-arm64 | NOTE |
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| r-release-linux-x86_64 | OK |
| r-release-macos-arm64 | OK |
| r-release-macos-x86_64 | OK |
| r-release-windows-x86_64 | OK |
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NOTE 12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 9, 2026
NOTE
r-oldrel-macos-arm64
installed package size
installed size is 20.8Mb
sub-directories of 1Mb or more:
libs 19.1Mb
NOTE
r-oldrel-macos-x86_64
installed package size
installed size is 21.1Mb
sub-directories of 1Mb or more:
libs 19.4Mb
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1.3.2
Mar 9, 2026