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README.md
In ssgraph: Bayesian Graph Structure Learning using Spike-and-Slab Priors
ssgraph 
The R package ssgraph is designed for Bayesian structure learning in graphical models using spike-and-slab priors. To speed up the computations, the computationally intensive tasks of the package are implemented in C++ in parallel using OpenMP.
Installation
You can install the latest version from CRAN using:
install.packages( "ssgraph" )
require( "ssgraph" )
To see how to use the functionality of the package:
https://CRAN.R-project.org/package=ssgraph/vignettes/ssgraph-example.html
Try the ssgraph package in your browser
Any scripts or data that you put into this service are public.
ssgraph documentation built on Dec. 28, 2022, 2:37 a.m.
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ssgraph
The R package ssgraph is designed for Bayesian structure learning in graphical models using spike-and-slab priors. To speed up the computations, the computationally intensive tasks of the package are implemented in C++ in parallel using OpenMP.
Installation
You can install the latest version from CRAN using:
install.packages( "ssgraph" )
require( "ssgraph" )
To see how to use the functionality of the package:
https://CRAN.R-project.org/package=ssgraph/vignettes/ssgraph-example.html
Try the ssgraph package in your browser
Any scripts or data that you put into this service are public.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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