similar to: R2WinBugs and Compare DIC versus BIC or AIC

*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'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

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,

Dear all, I tried to run WinBUGS model in R by using package R2WinBUGS, but I failed because of the massage : cannot calculate DIC for model in log file of WinBUGS14. In fact, the model works in WinBUGS and I can get summaries of the model, such as density, stats..., except DIC , because DIC may not be appropriate in this kind of model due to some reasons(according to the manual of WinBUGS14),

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 Users, I am new to both of things, so do not blame me too much... I am busy with semiparametric regression and use WinBUGS to sample posteriors. The code to call Winbugs is as follows: data <- list("y","X","n","m") #My variables inits.beta <- rep(0,K) inits.beta0 <- 0 inits <-

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

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,

Hi, I??m trying to use the Win2BUGS package from R and I have a similar problem that reurns with the message: Error in FUN(X[[1]], ...) : symbol print-name too long But, there is no stray ` character in the file ( Sugestions given by: Duncan Temple Lang <duncan> Date: Mon, 26 Sep 2005 07:31:08 -0700 ) The progam in R is: library(R2WinBUGS) library(rbugs) dat <-

I'm back! I've just learned that, on a fully updated Fedora Core Linux5 sytem, the working solution to access Winbugs under wine via the R package "rbugs" no longer works. Here was my last post on this topic (with the formerly working solution) from January. http://finzi.psych.upenn.edu/R/Rhelp02a/archive/68497.html Currently, what happens is that WinBUGS starts up, but just

Dear all I used R2WinBUGS package's bugs() function to generate MCMC results. Then I tried to save the simulation draws in R, using read.bugs() function. Here is a simple test: ###################### library(coda) library(R2WinBUGS) #fake some data to test beta0=1 beta1=1.5 beta2=-1 beta3=2 N=200 x1=rnorm(N, mean=0,sd=1) x2=rnorm(N, mean=0,sd=1) x3=rnorm(N, mean=0,sd=1) lambda2= exp(beta0+

I tried calculating pD as 1/2 variance of the deviance, but I got hugely inflated numbers. Does anybody know how to calculate pD from the coda files output from R2WinBUGS? By the way, 'set DIC' is greyed out for some reason within WinBUGS, so I can't monitor DIC. [[alternative HTML version deleted]]

Hi, I am trying to covert a Winbugs code into R code. Here is the winbugs code model{# model’s likelihoodfor (i in 1:n){time[i] ~ dnorm( mu[i], tau ) # stochastic componenent# link and linear predictormu[i] <- beta0 + beta1 * cases[i] + beta2 * distance[i]}# prior distributionstau ~ dgamma( 0.01, 0.01 )beta0 ~ dnorm( 0.0, 1.0E-4)beta1 ~ dnorm( 0.0, 1.0E-4)beta2 ~ dnorm( 0.0, 1.0E-4)#

R2WinBUGS users, I'm getting the error message "monitor could not be set" when I try to monitor (and output to R) a response variable that includes missing data (NAs)...ie.e imputing for y. Setting monitors for other parameters works OK and running the R-generated WinBUGS script file in WinBUGS, also works OK. Below is my R code and the log.txt file output by R2WinBUGS. As I want to

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

I have successfully used R2WinBUGS in the past and an trying to use basically the same code with some different data but I'm getting the following error: > out <- bugs(data=win.data, inits=inits, parameters.to.save=params, > model.file = "PoissonGLMM.txt", n.chains=nc, n.iter=ni, n.burn=nb, > n.thin=nt, debug=TRUE, DIC=TRUE, working.directory=getwd()) *Error in

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.

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

Hello, I have problem running WinBUGS from R. The following example works in WinBUGS but it does not work in R through package R2WinBUGS. Does anyone know what the problem is? x <- c(0.2, 1.1, 1, 2.2, 2.5, 2.9, 2.9, 3.6, 3.8, 0.6, 1, 2, 2.4, 2.6, 2.8, 3.2, 3.9, 3.5) y <- c(0.5, 1.3, 0.1, 0.7, -0.4, 0.5, -0.9, -0.3, -0.3, 0.6, 0.4, 0.9, -0.1, -0.4, -0.5, -0.2, 0.3, -1.5) eco <- c(1, 3,

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