CRAN/E | lolog

lolog

Latent Order Logistic Graph Models

Installation

About

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.

github.com/statnet/lolog

Key Metrics

Version 1.3.1
R ≥ 4.0.0
Published 2023-12-07 113 days ago
Needs compilation? yes
License MIT
License LICENCE
CRAN checks lolog results

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Maintainer

Maintainer

Ian E. Fellows

ian@fellstat.com

Authors

Ian E. Fellows

aut / cre

Mark S. Handcock

ctb

Material

Reference manual
Package source

Vignettes

An Example Analysis Using lolog
An Introduction to LOLOG Network Models

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

lolog archive

Depends

R ≥ 4.0.0
methods
Rcpp ≥ 0.9.4

Imports

network
parallel
ggplot2
reshape2
intergraph
Matrix

Suggests

testthat
inline
knitr
rmarkdown
ergm
BH
igraph

LinkingTo

Rcpp
BH