ssgraph (1.1)

Bayesian Graphical Estimation using Spike-and-Slab Priors.

https://www.uva.nl/profile/a.mohammadi
http://cran.r-project.org/web/packages/ssgraph

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.

Maintainer: Reza Mohammadi
Author(s): Reza Mohammadi <https://orcid.org/0000-0001-9538-0648>

License: GPL (>= 2)

Uses: igraph, Matrix
Reverse depends: BDgraph

Released 6 months ago.