Package: Bergm 5.0.7

Bergm: Bayesian Exponential Random Graph Models

Bayesian analysis for exponential random graph models using advanced computational algorithms. More information can be found at: <https://acaimo.github.io/Bergm/>.

Authors:Alberto Caimo [aut, cre], Lampros Bouranis [aut], Robert Krause [aut] Nial Friel [ctb]

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Bergm.pdf |Bergm.html✨
Bergm/json (API)

# Install 'Bergm' in R:
install.packages('Bergm', repos = c('https://acaimo.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/acaimo/bergm/issues

Datasets:
  • lazega - Lazega lawyers network data

On CRAN:

Conda:

6.22 score 16 stars 4 packages 31 scripts 1.1k downloads 8 exports 89 dependencies

Last updated 30 days agofrom:800f85d34d. Checks:1 OK, 7 WARNING. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 11 2025
R-4.5-winWARNINGFeb 11 2025
R-4.5-macWARNINGFeb 11 2025
R-4.5-linuxWARNINGFeb 11 2025
R-4.4-winWARNINGFeb 11 2025
R-4.4-macWARNINGFeb 11 2025
R-4.3-winWARNINGFeb 11 2025
R-4.3-macWARNINGFeb 11 2025

Exports:bergmbergmCbergmMbgofergmAPLevidenceevidenceCJevidencePP

Dependencies:backportsbitbit64bootbroomcachemclicliprcodacodetoolscpp11crayonDEoptimRdplyrergmevaluatefansifastmapforcatsforeachgenericsglmnetgluehavenhighrhmsiteratorsjomoknitrlatticelifecyclelme4lpSolveAPImagrittrMASSMatrixmatrixcalcMatrixModelsmcmcMCMCpackmemoisemiceminqamitmlmvtnormnetworknlmenloptrnnetnumDerivordinalpanpillarpkgconfigprettyunitsprogresspurrrquantregR6rbibutilsRcppRcppEigenRdpackreadrreformulasRglpkrlangrlerobustbaserpartshapeslamSparseMstatnet.commonstringistringrsurvivaltibbletidyrtidyselecttrusttzdbucminfutf8vctrsvroomwithrxfunyaml