# GGMselect-package: Gaussian Graphs Models selection In GGMselect: Gaussian Graphs Models Selection

## Description

GGMselect is a package dedicated to graph estimation in Gaussian Graphical Models. The main functions return the adjacency matrix of an undirected graph estimated from a data matrix.

This package is developed in the Applied Mathematics and Informatics (https://maiage.inra.fr/) Lab of INRA - Jouy-en-Josas, France.

To cite GGMselect, please use `citation("GGMselect")`.

## Details

 Package: GGMselect URL: http://genome.jouy.inra.fr/logiciels/GGMselect

## Author(s)

Annie Bouvier, Christophe Giraud, Sylvie Huet, Verzelen Nicolas

Maintainer: Benjamin Auder <benjamin.auder@universite-paris-saclay.fr>

More details are available on ../doc/Notice.pdf

## References

Please use `citation("GGMselect")`.

`selectFast`, `selectQE`, `selectMyFam`,`convertGraph`, `simulateGraph`, `penalty`
 ``` 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17``` ```p=30 n=30 # simulate graph eta=0.11 Gr <- simulateGraph(p,eta) # simulate data X <- rmvnorm(n, mean=rep(0,p), sigma=Gr\$C) # estimate graph ## Not run: GRest <- selectFast(X) # plot result ## Not run: library(network) ## Not run: par(mfrow=c(1,2)) ## Not run: gV <- network(Gr\$G) ## Not run: plot(gV,jitter=TRUE, usearrows = FALSE, label=1:p,displaylabels=TRUE) ## Not run: g <- network(GRest\$EW\$G) ## Not run: plot(g, jitter=TRUE, usearrows = FALSE, label=1:p,displaylabels=TRUE) ```