similar to: R2WinBugs problem

I'm currently using JAGS as my Bayesian program of choice due to working off of an older mac running OSX. I'd like to utilize some of the functions from R2WinBUGS, however. As such, I'm attempting to write something to go from coda output dumped by JAGS into the bugs object format - I've looked for functions that will convert from an mcmc object to a bugs object, but

.... Un código más optimizado para la aproximación Monte Carlo de la distribución de IH N=10000 # tamaño simulación Monte Carlo n=5 # numero de uniformes cdf.IH <-function(x,n,N) { z=replicate(N,sum(runif(n))) apply(outer(x,z,">="),1,mean) } x=seq(0,5,.1) y=cdf.IH(x,n=n,N=N) plot(x,y,type="l") Un saludo. Olivier ----- Mensaje original ----- De:

Hi, I tried to use MethComp library and this library make use of the WinBUGS by R2WinBuGUS, but I get the follow error in bugs.run: *Error in bugs.run(n.burnin, bugs.directory, WINE = WINE, useWINE = useWINE, : * Look at the log file and try again with 'debug=TRUE' to figure out what went wrong within Bugs. Anyone can help-me, please? Thanks Cleber library( MethComp ) library(

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%

Hi all, I am having problems using the R2Winbugs function When I perform an analysis directly in Winbugs I can specify that the first 'n' iterations are to be done using an 'adaptive' phase. After this phase the markov chain seems to mix a lot better. I don't seem to be able to specify R2winbugs to carry out this adaptive phase, I can just specify the burnin length but

Dear all, I'm having a slight issue with R2WinBugs.... it cannot detect where WinBUGS is located. Q: How can I change the default path? Any advice is greatly appreciated. Thanks. Regards Erica I'm using R2WinBUGs (R version 2.21.1) on windows platform (Windows 7). I have downloaded WinBUGS14.exe and patch 1.4.3. As i'm working with Windows 7 (similiar issues to Vista occur),

Dear, I am running the following R code using the R2WINBUGS package. 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, bugs.directory="C:/Program Files/WinBUGS14" ) I put this code and the corresponding WINBUGS code "BUGScode" in the same folder

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

Is there an agreed upon method for handling exceptions thrown by something outside of Merb? For example, DataMapper now throws a DataMapper::ObjectNotFoundError when a record isn''t found in the db. I''d like to catch these exceptions and raise a C:E:NotFound exception instead, but without having to wrap a lot of code in begin/rescue/end blocks. Thanks, Mike Irwin

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

estimados estoy considerando programar la funcion de distribucion de Irwin hall. lamentablemente no he tenido exito, pido que alguien me pueda colaborar con aquello, les quedo agradecido de antemano. -- atte. Lic. Genaro Llusco Silvestre gellusco en gmail.com Telf: 74028671 blog personal es: http://www.cientificest.blogspot.com [[alternative HTML version deleted]]

*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]

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,

Dear R users: I was trying to fit a HMM with mixture of Gaussian into the dataset, and I tried to implement it by R2Winbugs. But I got the following errer. * Error in FUN(X[[1L]], ...) : .C(..): 'type' must be "real" for this format* Does anybody know what's the problem? Does R2Winbugs accept some matrix as inits? I would really appreciate your help. Thank you very much.

Hi All: Not sure why my previous question never got posted. Here I am seeking some help on my code. I am using the following code to run MCMC simulation on the following data using the model below: # Data matrix<-NULL > csvs<-paste("MVN", 1:2,".csv",sep="") > for (i in 1:length(csvs)){ + matrix[[i]]<- read.csv(file=csvs[i],header=TRUE) +

Hi all, I've been trying to run a model using R2winBUGS, and recurrently I get the message: "Error in FUN(X[[3L]], ...) : invalid to change the storage mode of a factor" My model is the following: sink("GLMM_Poisson.txt") cat(" model{ mu~dnorm(0,0.01) beta1~dnorm(-1,1) for(j in 1:nsite){ alpha[j]~dnorm(mu.alpha,tau.alpha) } mu.alpha~dnorm(0,0.01)

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

Dear all, I'm calling Winbugs (1.4.3) through R2WinBugs (2.1-18 coda_0.14-7) to fit a switching random walk model, but come up with an instant trap with the log only displaying 'check('. I will paste the trap with session info below; I'd be very grateful for any ideas. Couple of leads: 1. I presume the problem relates to the r package itself or the way I call bugs(), because I

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,

According to some old discussion (http://www.mail-archive.com/wine-devel at winehq.com/msg15669.html) on wine-devel it appears that __WINE__ should be the macro used to identify the Wine platform, However, that doesn't appear to work for Windows native MinGW on wine. Here is my test code: #include <stdio.h> int main(int argc, char** argv) { #if defined(__WINE__)