Re: [R] bnlearn and cpquery

attached): > [1] compiler_3.4.1 tools_3.4.1 > > > > > > Many thanks in advance > > > > Ross > > > > > [[alternative HTML version deleted]] > > __ > R-help@r-project.org mailing list -- To U

Re: [R] bnlearn impute problem

ve to upgrade to use it. Cheers, Marco -- Marco Scutari, Ph.D. Lecturer in Statistics, Department of Statistics University of Oxford, United Kingdom __ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman

Re: [R] cpquery problem

an average of ~= 13 without considering FFB. If I assume FFB is positive, then I can easily see E(y) ~= 15 and E(y) - 1.96 * 0.96 s.d. ~= 13.5. So ABW < 11 has zero or almost zero probability mass. Cheers, Marco -- Marco Scutari, Ph.D. Lecturer in Statistics, Department of Statistic

Re: [R] cpquery problem

7;y', TR = c(9, max(data$TR)), BU = c(15819, max(data$BU)), RF = c(2989, max(data$RF)), n=10^6, method = "lw") 3) look at the parameters in your fitted network and diagnose why this is happening. Cheers, Marco -- Marco Scutari, Ph.D. Lecturer in Statistics, Department

Re: [R] cpquery problem

that these classes should both typically > return a value for ABW that is very much higher than the threshold value. That may be, but much depends on the specific sample the model was fitted from. How does the fitted network look like? Cheers, Marco -- Marco Scutari, Ph.D. L

[R] bnlearn cpquery

rvals in the evidence. Cheers, Marco -- Marco Scutari, Ph.D. Lecturer in Statistics, Department of Statistics University of Oxford, United Kingdom [[alternative HTML version deleted]] __ R-help@r-project.org mailing list -- To UNSUBSCRIB

Re: [R] bnlearn and TAN network

aining? TAN does not do any sort of feature selection, so all the nodes should be there. As for "showing the network after training", what kind of plot are you looking for? Cheers, Marco -- Marco Scutari, Ph.D. Lecturer in Statistics, Department of S

Re: [R] bnlearn and TAN network

produce a graph + barplots plot from Rgraphviz. I have never managed to make it work, though. Cheers, Marco -- Marco Scutari, Ph.D. Lecturer in Statistics, Department of Statistics University of Oxford, United Kingdom __ R-help@r-project.org mai

Re: [R] Query in R.

als first. Cheers, Marco -- Marco Scutari, Ph.D. Lecturer in Statistics, Department of Statistics University of Oxford, United Kingdom __ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEAS

Re: [R] Strange error while passing string as an argument to the function in bnlearn package

ot;method")= chr "lw" To compute P(A = a | whatever you conditioned on), just sum the corresponding weights over the total weight mass. Since no language trickery is involved, this works reliably. Cheers, Marco -- Marco Scutari, Ph.D. Lecturer in Statistics, Department of Sta

Re: [R] Strange error while passing string as an argument to the function in bnlearn package

e(text="(M=='s')")), evidence=list(lag1.M1='s'), method = "lw") passing str2 as a list. Cheers, Marco -- Marco Scutari, Ph.D. Lecturer in Statistics, Department of S

Re: [R] NA/NaN values in bnlearn package R

Marco -- Marco Scutari, Ph.D. Research Associate, Genetics Institute (UGI) University College London (UCL), United Kingdom __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-proje

Re: [R] Using "cpquery" function from bnlearn package inside loop

lihood weighting method will work. > Don't > hesitate to correct me if I'm wrong. >From your description, likelihood weighting should be fine. Cheers, Marco -- Marco Scutari, Ph.D. Research Associate, Genetics Institute (UGI) University College London (UCL), United Ki

Re: [R] Using "cpquery" function from bnlearn package inside loop

g variables. Cheers, Marco -- Marco Scutari, Ph.D. Research Associate, Genetics Institute (UGI) University College London (UCL), United Kingdom __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting

Re: [R] Using "cpquery" function from bnlearn package inside loop

do so I suggest you should install the latest bugfix snapshot from bnlearn.com to avoid a few other bugs in cpquery(..., method = "lw"). Cheers, Marco -- Marco Scutari, Ph.D. Research Associate, Genetics Institute (UGI) University College London (UCL), United Kingdom __

Re: [R] Cross validation for Naive Bayes and Bayes Networks

to reassemble observed and predicted class labels and compute your metrics. > I also tried the *e1071* package, but I could not find a way to do > cross-validation. You might be able to trick the tune() function to do it, but I am not sure. Marco -- Marco Scutari, Ph.D. Research Assoc

Re: [R] bnlearn: how to compute boot strength with mmhc and a blacklist

different network every time it is run on > the same data set? This is not surprising, because mmhc() does not have a "start" argument, so it's starting from the same network over and over. There is no way to provide a random seed to mmhc(), so the only way

Re: [R] Specifying a response variable in a Bayesian network

ne of the BN classifiers in bnlearn, naive.bayes()/tree.bayes(), which handle the concept of a response variable more naturally than general-purpose BNs. Hope it helps, Marco -- Marco Scutari, Ph.D. Research Associate, Genetics Institute (UGI) University C

Re: [R] bayesian gene network construction

kage from Korbinian Strimmer targets exactly that kind of appilication: http://cran.r-project.org/web/packages/GeneNet/ Regards, Marco -- Marco Scutari, Ph.D. Research Associate, Genetics Institute (UGI) University College London (UCL), United Kingdom ___

Re: [R] Bayesian Belief Networks

rco, author and maintainer of bnlearn. -- Marco Scutari, Ph.D. Student Department of Statistical Sciences University of Padova, Italy __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting gui

Re: [R] Prediction with Bayesian Network?

ent you have to compute the (conditional) probabilities by hand. Best Regards, Marco Scutari author and maintainer of bnlearn -- Marco Scutari Ph.D. Student, Department of Statictical Sciences University of Padova "Facts don't care if you feel good about them." Slashdot,