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lolog

Latent Order Logistic (LOLOG) Graph Models

https://github.com/statnet/lolog

Science Score: 46.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ○
    CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ✓
    .zenodo.json file
    Found .zenodo.json file
  • ○
    DOI references
  • ✓
    Academic publication links
    Links to: arxiv.org
  • ✓
    Committers with academic emails
    2 of 4 committers (50.0%) from academic institutions
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    Institutional organization owner
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    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (15.2%) to scientific vocabulary
Last synced: 7 months ago · JSON representation

Repository

Latent Order Logistic (LOLOG) Graph Models

Basic Info
  • Host: GitHub
  • Owner: statnet
  • License: other
  • Language: C++
  • Default Branch: master
  • Size: 4.17 MB
Statistics
  • Stars: 5
  • Watchers: 8
  • Forks: 1
  • Open Issues: 0
  • Releases: 1
Created almost 8 years ago · Last pushed 7 months ago
Metadata Files
Readme License

README.md

Latent Order Logistic (LOLOG) Graph Models

LOLOG is a general framework for generative statistical modeling of graph datasets motivated by the principle of network growth. This class of models is fully general and terms modeling different important network features can be mixed and matched to provide a rich generative description of complex networks.

Resources

  • The mathematical details are outlined in a technical paper.
  • For a more detailed description of what can be done with the lolog package, see the introductory vignette.
  • An application of LOLOG modeling to a UK Faculty data set with comparisons to an ERGM fit can be found here.

Installation

The Easy Way

To install the latest release from CRAN run:

install.packages("lolog")

The Slightly Less Easy Way

To install the latest development version from the github repo run: ```

If devtools is not installed:

install.packages("devtools")

devtools::install_github("statnet/lolog") ` If this is your first R source package that you have installed, you’ll also need a set of development tools. On Windows, download and install [Rtools]( https://cran.r-project.org/bin/windows/Rtools/), anddevtoolstakes care of the rest. On a Mac, install the [Xcode command line tools]( https://developer.apple.com/downloads). On Linux, install the R development package, usually calledr-develorr-base-dev``. For details see Package Development Prerequisites.

Using The Package

``` library(lolog) library(network) data(ukFaculty)

Delete 2 vertices missing group

delete.vertices(ukFaculty, which(is.na(ukFaculty %v% "Group")))

A dyad independent model

fitind <- lolog(ukFaculty ~ edges() + nodeMatch("GroupC") + nodeCov("GroupC")) summary(fitind) ```

Development

Development Practices and Policies for Contributers

Using Eclipse

This package is set up as an Eclipse project, and the C++ code can be compiled and run without reinstalling the package. To set up in your eclipse IDE, select import project -> General -> Existing Projects into Workspace and select the lolog directory.

This project was set up following the methods outlined in:

http://blog.fellstat.com/?p=170

Owner

  • Name: Statnet
  • Login: statnet
  • Kind: organization
  • Email: contact@statnet.org

Statistical software for the analysis, simulation and visualization of network data.

GitHub Events

Total
  • Issues event: 3
  • Issue comment event: 2
  • Push event: 1
Last Year
  • Issues event: 3
  • Issue comment event: 2
  • Push event: 1

Committers

Last synced: about 3 years ago

All Time
  • Total Commits: 101
  • Total Committers: 4
  • Avg Commits per committer: 25.25
  • Development Distribution Score (DDS): 0.139
Top Committers
Name Email Commits
ifellows i****n@f****m 87
Mark S. Handcock h****k@u****u 12
ian fellows i****s@i****l 1
Mark S. Handcock h****k@s****u 1
Committer Domains (Top 20 + Academic)
stat.ucla.edu: 1 ucla.edu: 1 fellstat.com: 1

Issues and Pull Requests

Last synced: 7 months ago

All Time
  • Total issues: 9
  • Total pull requests: 2
  • Average time to close issues: 8 months
  • Average time to close pull requests: 3 days
  • Total issue authors: 7
  • Total pull request authors: 2
  • Average comments per issue: 3.0
  • Average comments per pull request: 1.5
  • Merged pull requests: 1
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
  • Pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
View more stats
Top Authors
Issue Authors
  • thelondonsimon (3)
  • nfultz (1)
  • shangyuan232 (1)
  • tylerandrewscott (1)
  • krlmlr (1)
  • mds-hopp (1)
  • krivit (1)
Pull Request Authors
  • duncan-clark (1)
  • ifellows (1)
Top Labels
Issue Labels
enhancement (1)
Pull Request Labels

Packages

  • Total packages: 1
  • Total downloads:
    • cran 740 last-month
  • Total dependent packages: 0
  • Total dependent repositories: 1
  • Total versions: 6
  • Total maintainers: 1
cran.r-project.org: lolog

Latent Order Logistic Graph Models

  • Versions: 6
  • Dependent Packages: 0
  • Dependent Repositories: 1
  • Downloads: 740 Last month
Rankings
Forks count: 21.0%
Stargazers count: 21.9%
Dependent repos count: 23.8%
Average: 24.7%
Downloads: 28.2%
Dependent packages count: 28.6%
Maintainers (1)
ian@fellstat.com
Last synced: 7 months ago

Dependencies

DESCRIPTION cran
  • R >= 4.0.0 depends
  • Rcpp >= 0.9.4 depends
  • methods * depends
  • Matrix * imports
  • ggplot2 * imports
  • intergraph * imports
  • network * imports
  • parallel * imports
  • reshape2 * imports
  • BH * suggests
  • ergm * suggests
  • igraph * suggests
  • inline * suggests
  • knitr * suggests
  • rmarkdown * suggests
  • testthat * suggests
inst/examplePackage/LologExtension/DESCRIPTION cran
  • Rcpp >= 0.10.0 depends
  • lolog * depends
  • BH * imports
  • network * suggests