similar to: Courses: Statistical Analysis with R - Bayesian Data Analysis with R and WinBUGS

Dear list members, Best greetings and apologies for cross-posting. There are available places for the course: "Bayesian Data Analysis with R and WinBUGS", please find the description of the course below. If you have any question don't hesitate to contact me. Best regards, Pablo ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ *Three days course in: Bayesian Data

Apologies for cross-posting. Places are available in the following course: "Introduction to Bayesian Data Analysis using WinBUGS and R" Best Regards, Pablo ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ Course: Introduction to Bayesian Data Analysis using WinBUGS and R Where: Linux Hotel, Essen-Horst, Germany

Dear list members, Apologies for cross-posting. Please, find below the information of an introductory Bayesian Data Analysis course with WinBUGS and R. If you have any question don't hesitate to contact me. Best regards, Pablo ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ Course: Introduction to Bayesian Data Analysis using WinBUGS and R Where: Linux Hotel, Essen-Horst,

Dear list members, Apologies for cross-posting, there are some places available in an introductory R course. Please, find below the information of this R training course. If you have any question, don't hesitate to contact me. Best regards, Pablo ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ Course: Statistical Analysis with R Where: Linux Hotel, Essen-Horst,

Workshop on Bayesian methods and WinBUGS *************************************** A two-day workshop on Bayesian methods is being held on Friday 3 - Saturday 4 February 2012 at the University of Sydney. This course is suitable for graduate students, academics, researchers and professionals who wish to introduce themselves in the application of Bayesian methods and the use of WinBUGS software.

I am trying to figure out if it is possible to run winBUGS from within R, using R2winBUGS, without having winBUGS spawn any windows (basically - 'true' batch - no GUI actions at all). The reason being I have a machine which I (and several others) ssh/telnet into, and would like to run winBUGS without having to mount a virtual desktop of any kind. I've looked through the r2winBUGS

Hi, I'm having trouble running a script within winbugs when calling winbugs from R. Here are a few lines from the winbugs log: display(log) check(C:\DOCUME~1\michael\LOCALS~1\Temp\RtmpjKnHMu\mm_TO_bugs9bc21e.txt) cannot open C:\DOCUME~1\michael\LOCALS~1\Temp\RtmpjKnHMu\mm_TO_bugs9bc21e.txt data(C:/DOCUME~1/michael/LOCALS~1/Temp/RtmpjKnHMu/data.txt) command #Bugs:data cannot be executed (is

Hello everyone, I need some help regarding calling WinBUGS from R. I have a model for WinBUGS and an R code which calls WinBUGS. On running the code I am being shown the error message : Error in file(con, "wb") : cannot open the connection In addition: Warning messages: 1: In file.create(to[okay]) : cannot create file 'c:/Program

Dear all, I want to run two winBugs process through R (by R2WinBUGS package). The first WinBUGS process can successfully perform under R. The error message appears while I put the code to run for the second WinBUGS. The error message: Error in file(file, ifelse(append, "a", "w")) : cannot open the connection In addition: Warning message: In file(file, ifelse(append,

Hi, I am very new to R and Winbugs. I have been provided with a code that runs Winbugs from R. The code runs 60 different models and I would like to either save the Winbugs log file for each of these or reproduce the WinBugs plots which show convergence over the iterations.I can do this by using Debug=true and saving manually each time but obviously this is very time consuming. Many thanks Ruth

Hi All, I'm using WinBUGS on a very simple survival model (log-normal with one covariate "Treat"), but I cannot understand the way it handles censored data. I'm posting the R file which generates the data from pre-specified parameters, as well as the .bug file. The question is, if I use NA to denote the censored data (as suggested by the example Mice in WinBUGS Example Vol.I),

Hi, I am trying to use WinBUGS using R, but i am having some problems using bugs function: out <- bugs(data = win.data, inits = inits, parameters.to.save = params, model.file = "model.txt", n.thin = nt, n.chains = nc, n.burnin = nb, n.iter = ni, debug = TRUE, DIC = TRUE, working.directory = getwd()) ls() WinBUGS file is in working directory=D:/Line/documents but R looks for

Hello ALL! I am running Linux, Fedora 15 64-bits, and R on it. I need to use WinBUGS and R2WinBUGS, but as far as I read, WinBUGS is closed project, to be continued with/as OpenBUGS. Thus, I have found R2OpenBUGS on OpenBUGS Contributed Code (http://openbugs.info/w/UserContributedCode), not on CRAN. Author(s) states that it is equivalent for R2WinBUGS. I tried briefly, and realized few minor

I have a problem with Winbugs. The code is executed perfectly, the only problem is that the stats option isn't available (grey color) and i don't know how to make it work. Maybe if i run the winbugs throug R i will be able to get stats results? -- View this message in context: http://r.789695.n4.nabble.com/Winbugs-tp4451373p4451373.html Sent from the R help mailing list archive at

Hello, In WinBUGS 1.4 manual (http://www.mrc-bsu.cam.ac.uk/bugs/winbugs/manual14.pdf), the gamma density is presented as dgamma(r,mu) where r and mu are the shape and rate parameters, respectively. In JAGS (rjags) manual version 1.0.2, May 9, 2008 (http://www-fis.iarc.fr/~martyn/software/jags/jags_user_manual.pdf), on page 26 the gamma density is presented as dgamma(mu,r) instead of dgamma(r,mu).

Please suggest a way out to the following problem. I have a T by n data matrix (say Y) where coulmns are time series of length T. To do some analysis in WinBUGS I need to construct my data as follows. yy<-rep(Y,k) ## this will be a vector Yk<-array(yy,dim=c(T,n,k)) ## data array Here the definition of dim indices is first index: T rows second index: n columns third index: for kth T by n

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+

Hi all, I've managed to get JAGS working on my Ubuntu Hardy Linux with a 32-bit computer and AMD processors using R 2.8.1. JAGS is great. I've read that JAGS is the fastest, but that hasn't been my experience. At any rate, I have more experience with WinBUGS under Windows and would like a version of that working as well. It seems like I've read a lot on the subject and tried a

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 <-

I try to do a test for dirichlet process for Multivariate normal, but Winbugs always says "expected multivariate node", does that mean I miss something at initialization? I will really appreciate the help to solve this problem Here is the R code, and Winbugs code. model { for(i in 1:N){ y[i,1:2] ~ dmnorm(mu[i,],tau[i,,]) S[i] ~ dcat(pi[]) mu[i,1:2] <- mu.star[S[i],]