ssgraph

Bayesian Graphical Estimation using Spike-and-Slab Priors

For Bayesian inference in undirected graphical models using spike-and-slab priors, continuous, discrete, and mixed data. The package is implemented the recent improvements in the Bayesian graphical models' literature, including Wang (2015) <doi:10.1214/14-BA916>. 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
1.2
Date
2018-05-14
Author
Reza Mohammadi
Maintainer
Reza Mohammadi
URL
Description
For Bayesian inference in undirected graphical models using spike-and-slab priors, continuous, discrete, and mixed data. The package is implemented the recent improvements in the Bayesian graphical models' literature, including Wang (2015) . To speed up the computations, the computationally intensive tasks of the package are implemented in C++ in parallel using OpenMP.
Depends
BDgraph (>= 2.49)
Imports
Matrix, igraph
License
GPL (>= 2)
Repository
CRAN
LazyLoad
yes
NeedsCompilation
yes
Packaged
2018-05-14 12:26:57 UTC; reza
Date/Publication
2018-05-14 12:35:31 UTC

install.packages('ssgraph')

1.2

7 days ago

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

Reza Mohammadi

GPL (>= 2)

Depends on

BDgraph (>= 2.49)

Imports

Matrix, igraph

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