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btergm

Temporal Exponential Random Graph Models by Bootstrapped Pseudolikelihood

https://github.com/leifeld/btergm

Science Score: 23.0%

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

  • ○
    CITATION.cff file
  • ○
    codemeta.json file
  • ○
    .zenodo.json file
  • ✓
    DOI references
    Found 2 DOI reference(s) in README
  • ○
    Academic publication links
  • ✓
    Committers with academic emails
    3 of 8 committers (37.5%) from academic institutions
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (10.0%) to scientific vocabulary

Keywords

complex-networks dynamic-analysis ergm estimation goodness-of-fit inference longitudinal-data network-analysis prediction tergm
Last synced: 6 months ago · JSON representation

Repository

Temporal Exponential Random Graph Models by Bootstrapped Pseudolikelihood

Basic Info
  • Host: GitHub
  • Owner: leifeld
  • Language: R
  • Default Branch: master
  • Homepage:
  • Size: 762 KB
Statistics
  • Stars: 18
  • Watchers: 4
  • Forks: 10
  • Open Issues: 0
  • Releases: 0
Topics
complex-networks dynamic-analysis ergm estimation goodness-of-fit inference longitudinal-data network-analysis prediction tergm
Created over 9 years ago · Last pushed 11 months ago
Metadata Files
Readme

README.md

btergm

Temporal Exponential Random Graph Models by Bootstrapped Pseudolikelihood.

Temporal Exponential Random Graph Models (TERGM) estimated by maximum pseudolikelihood with bootstrapped confidence intervals or Markov Chain Monte Carlo maximum likelihood (MCMC MLE). Goodness of fit assessment for ERGMs, TERGMs, and SAOMs. Micro-level interpretation of ERGMs and TERGMs.

R-CMD-check test-coverage coverage status

Installation

The last stable release can be installed from CRAN: r install.packages("btergm") To install the latest development version from GitHub, use the remotes package: r remotes::install_github("leifeld/btergm")

cran version downloads total downloads research software impact

Documentation

Documentation of the package is available as a JStatSoft article:

Leifeld, Philip, Skyler J. Cranmer and Bruce A. Desmarais (2018): Temporal Exponential Random Graph Models with btergm: Estimation and Bootstrap Confidence Intervals. Journal of Statistical Software 83(6): 1-36. https://doi.org/10.18637/jss.v083.i06.

Owner

  • Name: Philip Leifeld
  • Login: leifeld
  • Kind: user
  • Company: University of Essex

GitHub Events

Total
  • Issues event: 2
  • Watch event: 2
  • Issue comment event: 4
  • Push event: 2
Last Year
  • Issues event: 2
  • Watch event: 2
  • Issue comment event: 4
  • Push event: 2

Committers

Last synced: over 2 years ago

All Time
  • Total Commits: 246
  • Total Committers: 8
  • Avg Commits per committer: 30.75
  • Development Distribution Score (DDS): 0.577
Past Year
  • Commits: 17
  • Committers: 1
  • Avg Commits per committer: 17.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
Philip Leifeld l****d 104
leifeld p****d@e****k 74
leifeld p****d@g****k 24
Laurence Brandenberger l****r@e****h 19
Kevin Reuning k****g@g****m 13
bdesmarais b****s@p****u 7
John Carlo Salter j****m@g****m 4
Scott Duxbury 3****y 1
Committer Domains (Top 20 + Academic)
psu.edu: 1 eawag.ch: 1 glasgow.ac.uk: 1 essex.ac.uk: 1

Issues and Pull Requests

Last synced: 7 months ago

All Time
  • Total issues: 32
  • Total pull requests: 4
  • Average time to close issues: 7 months
  • Average time to close pull requests: 10 days
  • Total issue authors: 23
  • Total pull request authors: 4
  • Average comments per issue: 2.94
  • Average comments per pull request: 3.5
  • Merged pull requests: 4
  • 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
  • krivit (6)
  • leifeld (4)
  • Laupheim (2)
  • alexpghayes (1)
  • lucas-dopaes (1)
  • daevra (1)
  • shirancohen2016 (1)
  • smy310 (1)
  • rwss2021 (1)
  • Whissi (1)
  • reuning (1)
  • PCK1992 (1)
  • brandenberger (1)
  • Dreznel (1)
  • marioangst (1)
Pull Request Authors
  • sduxbury (1)
  • bdesmarais (1)
  • reuning (1)
  • Dreznel (1)
Top Labels
Issue Labels
enhancement (5) bug (3) question (2) help wanted (1)
Pull Request Labels

Packages

  • Total packages: 1
  • Total downloads:
    • cran 7,748 last-month
  • Total docker downloads: 783
  • Total dependent packages: 4
  • Total dependent repositories: 25
  • Total versions: 22
  • Total maintainers: 1
cran.r-project.org: btergm

Temporal Exponential Random Graph Models by Bootstrapped Pseudolikelihood

  • Versions: 22
  • Dependent Packages: 4
  • Dependent Repositories: 25
  • Downloads: 7,748 Last month
  • Docker Downloads: 783
Rankings
Dependent repos count: 5.5%
Forks count: 6.8%
Downloads: 8.6%
Dependent packages count: 9.3%
Average: 11.5%
Stargazers count: 14.1%
Docker downloads count: 24.8%
Maintainers (1)
philip.leifeld@manchester.ac.uk
Last synced: 6 months ago

Dependencies

DESCRIPTION cran
  • R >= 3.5 depends
  • Matrix >= 1.3.2 imports
  • ROCR >= 1.0.7 imports
  • boot >= 1.3.17 imports
  • coda >= 0.18.1 imports
  • ergm >= 4.2.1 imports
  • graphics * imports
  • igraph >= 0.7.1 imports
  • methods * imports
  • network >= 1.17.1 imports
  • parallel * imports
  • sna >= 2.3.2 imports
  • speedglm >= 0.3.1 imports
  • statnet.common >= 4.5.0 imports
  • stats * imports
  • utils * imports
  • Bergm >= 5.0.2 suggests
  • RSiena >= 1.0.12.232 suggests
  • fastglm >= 0.0.1 suggests
  • ggplot2 >= 2.0.0 suggests
  • testthat * suggests