[R] R equivalent to Matlab's Bayes net toolbox
Soren.Hojsgaard at agrsci.dk
Tue Jul 17 20:49:42 CEST 2007
I am not entirely sure what Matlabs Bayes net toolbox does, but I guess it implements as propagation algorithm for Bayesian networks. There is no such package on CRAN - yet - but there will be soon: I've created a package called gRbayesnet which implements the "Lauritzen-Spiegelhalter" propagation algorithm. I expect to upload it to CRAN within the next few days.
Fra: r-help-bounces at stat.math.ethz.ch på vegne af Jose Quesada
Sendt: ma 16-07-2007 17:58
Til: r-help at lists.r-project.org
Emne: [R] R equivalent to Matlab's Bayes net toolbox
I'm attending summer School at UCLA (IPAM) on "probabilistics models of
cognition". I have been an R-user since v. 1.4.1, but was trained in the
frequentist tradition (as most psychologists!). I found that all faculty
here use matlab and Murphy's bayes net toolbox. I have not had the need to
use matlab before, and would love to stick to R for graphics models and
bayesian modeling in general (even if it takes me extra time to cross-code
the examples in matlab into R).
I'm trying to find an R equivalent to Matlab's Bayes net toolbox.
I have found packages 'deal' and 'gR', and played around with:
But I cannot really figure out how all these packages are integrated.
Also, appendix B of 'bayesian AI' lists gR as "vaporware" (although this
could well be outdated by now).
Is there any R news article on bayesian networks? It's hard to find,
because I don't think the content of R-news is indexed in CRAN. I could
download every issue and search the TOC, but it'd be time-consuming.
Even though the examples in the documentation in package 'deal' are good,
they fall short. A good tutorial would be great.
What I'd like to know from you is whether R is a sensible choice or
whether BNT is just easier and more mature.
Right now I could easily chose R or Matlab, since I have made little
investment in any form of bayesian networks modeling; However, since I
have a better background in R than in Matlab, I'd love to stay with R.
Any resources (mailing lists, books, tutorials) would be greatly
Thanks a lot in advance,
Jose Quesada, PhD.
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