ssgraph

Bayesian Graphical Estimation using Spike-and-Slab Priors

Bayesian estimation of graph structure learning in undirected graphical models using spike-and-slab priors. The package handles continuous, discrete, and mixed data. To speed up the computations, the computationally intensive tasks of the package are implemented in C++ in parallel using OpenMP.

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Description file content

Package
ssgraph
Title
Bayesian Graphical Estimation using Spike-and-Slab Priors
Version
1.6
Date
2018-11-7
Author
Reza Mohammadi
Maintainer
Reza Mohammadi
URL
Description
Bayesian estimation of graph structure learning in undirected graphical models using spike-and-slab priors. The package handles continuous, discrete, and mixed data. To speed up the computations, the computationally intensive tasks of the package are implemented in C++ in parallel using OpenMP.
Depends
BDgraph (>= 2.52)
Imports
Matrix, igraph
License
GPL (>= 2)
Repository
CRAN
NeedsCompilation
yes
Packaged
2018-11-08 16:50:08 UTC; reza
Date/Publication
2018-11-08 17:10:03 UTC

install.packages('ssgraph')

1.6

9 days ago

https://www.uva.nl/profile/a.mohammadi

Reza Mohammadi

GPL (>= 2)

Depends on

BDgraph (>= 2.52)

Imports

Matrix, igraph

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