ssgraph: Bayesian Graph Structure Learning using Spike-and-Slab Priors
Bayesian estimation for undirected graphical models using spike-and-slab priors. The package handles continuous, discrete, and mixed data.
| Version: | 1.14 |
| Depends: | BDgraph (≥ 2.58) |
| Suggests: | skimr, knitr, rmarkdown |
| Published: | 2022-08-11 |
| Author: | Reza Mohammadi 
[aut, cre] |
| Maintainer: | Reza Mohammadi <a.mohammadi at uva.nl> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | https://www.uva.nl/profile/a.mohammadi |
| NeedsCompilation: | yes |
| Citation: | ssgraph citation info |
| Materials: | README NEWS |
| In views: | Bayesian, HighPerformanceComputing, MachineLearning |
| CRAN checks: | ssgraph results |
Documentation:
| Reference manual: | ssgraph.pdf |
| Vignettes: |
ssgraph with simple sxample |
Downloads:
| Package source: | ssgraph_1.14.tar.gz |
| Windows binaries: | r-devel: ssgraph_1.14.zip, r-release: ssgraph_1.14.zip, r-oldrel: ssgraph_1.14.zip |
| macOS binaries: | r-release (arm64): ssgraph_1.14.tgz, r-oldrel (arm64): ssgraph_1.14.tgz, r-release (x86_64): ssgraph_1.14.tgz, r-oldrel (x86_64): ssgraph_1.14.tgz |
| Old sources: | ssgraph archive |
Reverse dependencies:
| Reverse suggests: | BDgraph |
Linking:
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