Hi, Does anyone know of a package for or any implementation of a Bayesian Belief Network in R? Thanks, Walt ________________________ Walter R. Paczkowski, Ph.D. Data Analytics Corp. 44 Hamilton Lane Plainsboro, NJ 08536 ________________________ (V) 609-936-8999 (F) 609-936-3733 walt at dataanalyticscorp.com www.dataanalyticscorp.com
Hello Walt, Have a look at the bnlearn and deal packages. Michael On 24 December 2010 01:29, Data Analytics Corp. <walt at dataanalyticscorp.com> wrote:> Hi, > > Does anyone know of a package for or any implementation of a Bayesian Belief > Network in R? > > Thanks, > > Walt > > ________________________ > > Walter R. Paczkowski, Ph.D. > Data Analytics Corp. > 44 Hamilton Lane > Plainsboro, NJ 08536 > ________________________ > (V) 609-936-8999 > (F) 609-936-3733 > walt at dataanalyticscorp.com > www.dataanalyticscorp.com > > ______________________________________________ > R-help at r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. >
On Fri, Dec 24, 2010 at 12:01 AM, Michael Bedward <michael.bedward at gmail.com> wrote:> Hello Walt, > > Have a look at the bnlearn and deal packages. > > MichaelDear Walt, take a look also to the catnet/mugnet and pcalg packages, and if you have questions about bnlearn feel free to ask. Regards, Marco, author and maintainer of bnlearn. -- Marco Scutari, Ph.D. Student Department of Statistical Sciences University of Padova, Italy
Probability propragation is provided in the gRain package. Regards S?ren ________________________________________ Fra: r-help-bounces at r-project.org [r-help-bounces at r-project.org] På vegne af Michael Bedward [michael.bedward at gmail.com] Sendt: 24. december 2010 00:01 Til: Data AnalyticsCorp. Cc: r-help at r-project.org Emne: Re: [R] Bayesian Belief Networks Hello Walt, Have a look at the bnlearn and deal packages. Michael On 24 December 2010 01:29, Data Analytics Corp. <walt at dataanalyticscorp.com> wrote:> Hi, > > Does anyone know of a package for or any implementation of a Bayesian Belief > Network in R? > > Thanks, > > Walt > > ________________________ > > Walter R. Paczkowski, Ph.D. > Data Analytics Corp. > 44 Hamilton Lane > Plainsboro, NJ 08536 > ________________________ > (V) 609-936-8999 > (F) 609-936-3733 > walt at dataanalyticscorp.com > www.dataanalyticscorp.com > > ______________________________________________ > R-help at r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. >______________________________________________ R-help at r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
Hi Marco, I saw this post and was wondering if you would be able to help me. I have a gene expression data file that i would like to build a bayesian n/w on. I input a file with samples as rows and columns as features into the bnlearn package. I read through the pdf file that talks about the bnlearn package. I understood the many different approaches for discrete data, but did not really understand what to do with continuous data. The example for continuous data on your web site, built an empty network with only nodes when I implemented it. (code shown below: data(gaussian.test) res = empty.graph(names(gaussian.test)) modelstring(res) = "[A][B][C][D][C|A:B][D|B][F|A:D:E:G]" plot(res) Do you have your own example which describes what functions to use step and step and how to plot the n/w ? Any help appreciated. thanks -- View this message in context: http://r.789695.n4.nabble.com/Bayesian-Belief-Networks-tp3162133p4536033.html Sent from the R help mailing list archive at Nabble.com.