similar to: Help R2WinBUGS

Dear friends - I'm on winXP, R 2.71 - I have with some help dveloped this multivariate normal model, which gives very plausible results in WinBUGS even without any initial values specified. However, when I then try to run the same model via the bugs function in R2WinBUGS with inits specified as inits=NULL the program stops in a dead end. So I have tried to make inits for the bugs function

I'm trying to understand how a latent state matrix is updated by the MCMC iterations in a WinBUGS model, using the package R2WinBUGS and an example from Kery and Schaub's (2012) book, "Bayesian Population Analysis Using WinBUGS". The example I'm using is 7.3.1. from a chapter on the Cormack-Jolly-Seber model. Some excerpted code is included at the end of this message;

Hi R-Help! I am trying to use R2WinBUGS but I get the following error message in WinBUGS (and there must be something wrong with my R statement as I tried it directly in WinBUGS and it worked): display(log) check(C:/Documents and Settings/Daikon/Roche/pop_model.txt) model is syntactically correct data(C:/Documents and Settings/Daikon/Roche/data.txt) expected key word structure compile(7) ...(and

Dear R-help, I'm using the R2WinBUGS package and getting an error message: Error in file(file, "r") : unable to open connection In addition: Warning message: cannot open file 'codaIndex.txt', reason 'No such file or directory' I'm using R 2.2.1 and WinBUGS 1.4.1 on a windows machine (XP). My R code and WinBUGS code is given below.

*Dear R-user, * I try to run Winbugs from R using bugs function in R2WinBUGS.My model works well in Winbugs except that I can't get DIC. Since I don't need DIC, when I try to run Winbugs from R , I set "DIC=FALSE". My model is as following: model { for (i in 1:N) { for(j in 1 : T ) { x[i, j] ~ dbin(p[i, j],n[i]) #Hier.prior p[i, j] ~ dbeta(alpha[i, j], beta[i, j]) alpha[i, j]

I am trying to run WinBUGS 1.4 from the Ubuntu 6.10 Linux distribution. I am using the R2WinBUGS packages with the source file listed below. WinBUGS appears to run properly, but I get the following message after WinBUGS starts in WINE. Does anyone know what may be causing this error and what the correction may be? Thanks ERROR MESSAGE: fixme:ole:GetHGlobalFromILockBytes cbSize is 13824

Hello R and BUGS users, I am writing a heirarchical model in R to send to BUGS via R2WinBUGS and I am finding it difficult to get the model to run. I seem to be having two problems. 1) I can't seem to send variables classed as factors (Month), is there a way do this? 2) Checking the Log in WinBUGS I can see that the model is Syntactically correct, but Bugs is not able to recognise the the

I'm having difficulty running R2WinBugs on a setup that previously worked for me (Dell Laptop, Windows XP service pack 3, R 2.11.1, WinBugs 1.43) . When I issue the following command smds.sim <- bugs (data, inits, parameters, "SMDSbrandLoc2.bug", debug = T, n.thin = n.thin, n.chains = n.chains, n.burnin = n.burnin, n.iter = n.iter) I get the following error in R

Dear All 1) I'm fitting spatial CAR models using R2Winbugs and although everything seems to go reasonably well (or I think so) the next message appears from WINBUGS 1.4 window: gen.inits() Command #Bugs: gen.inits cannot be executed (is greyed out) The question is if this message means that something is wrong and the results are consequently wrong, or Can I assume it as a simple warning

Dear UseRs, Apologies, I tried to post to the list yeasterday, but (for some reason) part of my message got missed off. Here's a second attempt. I am having some problems using R with WinBUGS using the R2WinBUGS package. Specifically, when I try to run bugs() I get the following message. Error in FUN(X[[1L]], ...) : .C(..): 'type' must be "real" for this format To

I'm new to bugs, so please bear with me. Can someone tell me if the following two models are doing the same thing? The reason I ask is that with the same data, the first (based on 4 separate coeffs a1--a4) takes about 50 secs, while the second (based on a vectorized form, a[]) takes about 300. The means are about the same, though R-hat's in the second version are quite a bit better.

I am using a binomial mixture model to estimate abundance (N) and detection probability (p) using simulated count data: -Each site has a simulated abundance that follow a Poisson distribution with lambda = 5 -There are 200 simulated sampled sites -3 repeated counts at each site - only 50 percent of the animals are counted during each count (i.e, detection probability p =0.5, see codes) We removed

Hi, I have a strange behaviour of openBUGS and WinBUGS when I start them from R. Version: R: 2.10.1 openBUGS: 3.07 WinBUGS: 1.43 R2WinBUGS: 2.1-16 BRugs: 0.5-3 I have a model and data without initial start values. If I use the stand alone versions of openBUGS and WinBUGS I don't have any problems and I get what I want. If I use function bugs() from R2WinBUGS- resp. BRugs-Library then

Hello there, is there a way to update a model, which was called by "bugs()"? For instance starting with few iterations and then updating more and more, as is possible inside the WinBUGS-window. If set "debug=TRUE", then the window remains open and updating is possible, but it is no longer written into the R-object. Is it generally impossible? Thanks, Frederic

Hello, I am trying to use R2WinBUGS to conduct a mixed treatment comparison (MTC) analysis. On the surface, it seems to me that I am following the correct steps: (1) reading the data into R, (2) specifying initial values for the parameters in the model and (3) fitting the model to the data using the bugs() function in R2WinBUGS. However, I get the error message

Hi, I'm running wine-1.0.1, OpenBUGS 3.0.3, R 2.9.0, and R2WinBUGS on a Redhat Enterprise Linux machine. Following various peoples' suggestions... This works perfectly (yay!): wine Z:/opt/OpenBUGS/winbugs.exe Within R, however, I get this: (setup the example from ?bugs, then....) R> schools.sim <- bugs(data, inits, parameters, model.file, n.chains=3,

Appologies for cross-posting Dear R users, I am using R2WinBUGS to call WinBUGS from R. After loading data, model, and initial values I call this command res <- bugs(data = dfile, inits = list(ifile), parameters.to.save = c("beta"), model.file = mfile, working.directory = tdir, n.thin = nthin, n.chains = 1, n.iter = niterations*nthin, n.burnin = 0, DIC = F, debug = T,

Dear I am trying to find a 90% credible interval. I am using the following code. fit<-bugs( model.file=BUGScode, data=data, inits = list(geninits1,geninits2), parameters.to.save=keepers, n.chains=nchains, n.iter=runs, n.burnin=burn, n.thin=nthin, DIC= TRUE, bugs.directory="C:/Program Files/WINBUGS.14", \ ) But this is only giving 95%

Dear R user: I am using R2WinBUGs to call WinBUGS from R. But I have some problems in using either the option bugs.seed and summary.only in the function bugs. Here are the programs and error messages. It appears that if I don't use either option, the program runs fine. I am using R2.5.1 and WinBUGs14. The program is not running: > schools.sim <- bugs(data, inits,

Hi All Does anyone know if I can avoid to use the write.model() function below? I dont want to do this. Can't bugs() do that automatically for me just by specifying the 4th argument 'model'? Just I like I am also using the 'inits' object! If I use 'model' in the same way as I use 'inits' I am getting the error: > sim <- bugs(data, inits, parameters,