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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: 1.15 Depends: BDgraph (≥ 2.58) Suggests: skimr, knitr, rmarkdown Published: 2022-12-24 DOI: 10.32614/CRAN.package.ssgraph 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_1.15.tar.gz Windows binaries: r-devel: ssgraph_1.15.zip, r-release: ssgraph_1.15.zip, r-oldrel: ssgraph_1.15.zip macOS binaries: r-release (arm64): ssgraph_1.15.tgz, r-oldrel (arm64): ssgraph_1.15.tgz, r-release (x86_64): ssgraph_1.15.tgz, r-oldrel (x86_64): ssgraph_1.15.tgz Old sources: ssgraph archive Reverse dependencies: Reverse suggests: BDgraph Linking:

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