Bayesian analysis for exponential random graph models using advanced computational algorithms. More information can be found at: <https://acaimo.github.io/Bergm>.
| Version: | 5.0.1 |
| Depends: | ergm, R (≥ 2.10) |
| Imports: | network, coda, MCMCpack, Matrix, mvtnorm, matrixcalc |
| Published: | 2019-11-04 |
| Author: | Alberto Caimo [aut, cre], Lampros Bouranis [aut], Robert Krause [aut] Nial Friel [ctb] |
| Maintainer: | Alberto Caimo <acaimo.stats at gmail.com> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | http://acaimo.github.io/Bergm/ |
| NeedsCompilation: | no |
| Citation: | Bergm citation info |
| Materials: | README |
| In views: | Bayesian |
| CRAN checks: | Bergm results |
| Reference manual: | Bergm.pdf |
| Package source: | Bergm_5.0.1.tar.gz |
| Windows binaries: | r-devel: Bergm_5.0.1.zip, r-release: Bergm_5.0.1.zip, r-oldrel: Bergm_5.0.1.zip |
| macOS binaries: | r-release: Bergm_5.0.1.tgz, r-oldrel: Bergm_5.0.1.tgz |
| Old sources: | Bergm archive |
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