This page describes some of the R packages for graphical modelling
that I have been involved with. There are many more packages for
grapical modelling, and the CRAN Task View gRaphical Models in
R lists many of these.
A related paper is: Højsgaard, Søren ; Lauritzen, Steffen
L. Graphical Gaussian models with edge and vertex symmetries.
Journal of the Royal Statistical Society; Series B: Statistical
Methodology, Vol. 70, No. 5, 2008, p. 1005-1027.
You MUST use R version 2.15.2 (or later). This is ESSENTIAL.
The packages listed above use the graph, RBGL and
Rgraphviz packages. These packages are NOT on CRAN but on
bioconductor. To install these packages, execute
Then install the packages from CRAN in the usual way.
Is it possible to specify likelihood evidence (also called
virtual evidence) in gRain?
Yes, as of version 1.1-2 this has been implemented. The function to use is
setEvidence(). A vignette on the topic has also been added.
Please report unexpected behaviour.
I want to build a Bayesian network with 80.000 nodes. Can I
do so with gRain?
Work has been done on supporting large networks. Please report
sucesses and failures.
Does gRain have support for Bayesian networks based on the
multivariate normal distribution and for mixed variables?
No. Implementation for the multivariate normal distribution
is straight forward (if you work with the canoncical rather than the
moment parameters). Any contribution would be most welcome. For
mixed variables, the only algorithm I know of is numerically unstable.
sorenh [at] math [dot] aau [dot] dk
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