GGMselect-package: Gaussian Graphs Models selection

Description Details Author(s) References See Also Examples

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").

See Also

selectFast, selectQE, selectMyFam,convertGraph, simulateGraph, penalty

Examples

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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)

GGMselect documentation built on Jan. 10, 2020, 9:07 a.m.