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]

Bergm_5.0.7.tar.gz
Bergm_5.0.7.zip(r-4.5)Bergm_5.0.7.zip(r-4.4)Bergm_5.0.7.zip(r-4.3)
Bergm_5.0.7.tgz(r-4.5-any)Bergm_5.0.7.tgz(r-4.4-any)Bergm_5.0.7.tgz(r-4.3-any)
Bergm_5.0.7.tar.gz(r-4.5-noble)Bergm_5.0.7.tar.gz(r-4.4-noble)
Bergm_5.0.7.tgz(r-4.4-emscripten)Bergm_5.0.7.tgz(r-4.3-emscripten)
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:

6.37 score 16 stars 4 packages 31 scripts 1.6k downloads 8 exports 89 dependencies

Last updated 2 months agofrom:800f85d34d. Checks:1 OK, 8 WARNING. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 13 2025
R-4.5-winWARNINGMar 13 2025
R-4.5-macWARNINGMar 13 2025
R-4.5-linuxWARNINGMar 13 2025
R-4.4-winWARNINGMar 13 2025
R-4.4-macWARNINGMar 13 2025
R-4.4-linuxWARNINGMar 13 2025
R-4.3-winWARNINGMar 13 2025
R-4.3-macWARNINGMar 13 2025

Exports:bergmbergmCbergmMbgofergmAPLevidenceevidenceCJevidencePP

Dependencies:backportsbitbit64bootbroomcachemclicliprcodacodetoolscpp11crayonDEoptimRdplyrergmevaluatefansifastmapforcatsforeachgenericsglmnetgluehavenhighrhmsiteratorsjomoknitrlatticelifecyclelme4lpSolveAPImagrittrMASSMatrixmatrixcalcMatrixModelsmcmcMCMCpackmemoisemiceminqamitmlmvtnormnetworknlmenloptrnnetnumDerivordinalpanpillarpkgconfigprettyunitsprogresspurrrquantregR6rbibutilsRcppRcppEigenRdpackreadrreformulasRglpkrlangrlerobustbaserpartshapeslamSparseMstatnet.commonstringistringrsurvivaltibbletidyrtidyselecttrusttzdbucminfutf8vctrsvroomwithrxfunyaml