Bergm: Bayesian Exponential Random Graph Models (original) (raw)
Bayesian analysis for exponential random graph models using advanced computational algorithms. More information can be found at: <https://acaimo.github.io/Bergm/>.
| Version: | 5.0.7 |
|---|---|
| Depends: | ergm, R (≥ 4.1) |
| Imports: | coda, graphics, grDevices, Matrix, matrixcalc, MCMCpack, mvtnorm, network, Rglpk, statnet.common, stats, utils |
| Suggests: | spelling |
| Published: | 2023-12-06 |
| DOI: | 10.32614/CRAN.package.Bergm |
| Author: | Alberto Caimo [aut, cre], Lampros Bouranis [aut], Robert Krause [aut] Nial Friel [ctb] |
| Maintainer: | Alberto Caimo <alberto.caimo1 at ucd.ie> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | https://acaimo.github.io/Bergm/ |
| NeedsCompilation: | no |
| Language: | en-US |
| Citation: | Bergm citation info |
| Materials: | README |
| In views: | Bayesian |
| CRAN checks: | Bergm results |
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