similar to: BRugs

Hi R users, I am trying to call openbugs from R. And I got the following error message: ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ model is syntactically correct expected the collection operator c error pos 8 (error on line 1) variable ww is not defined in model or in data set [1] "C:\\DOCUME~1\\maomao\\LOCALS~1\\Temp\\RtmpqJk9R3/inits1.txt"

Respected Sir, With reference to my mail to you and the reply mail by you dated 9th and 16th January, 2013, I am sending the reproducible code in the attached document named " MODIFIED ANS ". I am also attaching the txt file named "hazModel", which is required to save in my documents folder to run the program. The file also contains the error message

Hi. I am trying to analyze with BRugs the Box-Tiao variance components example in WinBUGS. The output from BRugs, mean sd MC_error val2.5pc median val97.5pc start sample sigma2.btw 681.9 1161 10.89 0.7016 253.8 4232 25001 100000 sigma2.with 4266.0 1246 4.92 2480.0000 4057.0 7262 25001 100000 doesn't match the output from WinBUGS, node mean

Dear all, I just try to run the example in R brugs packages, but not only once. Loop is added in this example. After several times (7, 11, or other random number), there is an error message "r for windows gui front-end has stopped working". This happened in two laptops with windows 7 and vista. I have tried different versions of R (2.14.1 and 2.13) and Brugs packages (0.7.1 and 0.7-5).

I've run into persistent problems with OpenBUGS crashing when using BRugs .53 and .71, and am hoping someone has suggestions. There is obviously something unusual going on in my environment, but I'm at a loss as to where to begin to try to solve it. In a nutshell, what happens is that, as soon as I call "modelCheck()" in BRugs, it gets an error or crashes ... but only some of

Is there a standardized way in R to perform post-hoc comparisons for main adn interaction effects of between- and within-subject factors? For instance, I have a data set of performance of adults of different age groups (20-30, 60-70,70-80) performing a WM task (n-back, with n=1,2,3,4) in two different conditions (while sitting or walking). The corresponding ANOVA produces the following output

I suggest to add a panel function to levelplot (or perhaps to an other 3d lattice function) which is able to translate the z values into the size of the rectangles. It could be used to display categorical data. I append the proposed code and two examples: - panel.catlevelplot() - example1.catlevelplot.esoph() - example2.catlevelplot.esoph() Wolfram Fischer #------ CODE

Hello, I am running a GLMM using R2Bugs, but am getting the below error message. I am including the entire output, although the 2nd and 3rd lines seem to indicate the problem. Note that I do define N (it is an integer) and send it to a datalist (see the R commands and model below). Interestingly, when I put all of this into OpenBugs directly, the model runs. I do have reasons, however, that I

Hi All, I'm trying to install the package "BRugs" and could not find it on the install package list. Then I tried the suggestion to run the following command in R install.packages("BRugs") but get the following error message: Loading required package: BRugs Warning message: In library(package, lib.loc = lib.loc, character.only = TRUE, logical.return = TRUE, : there

I am have installed R on Windows 7 machine. R got installed in the directory C:\Program Files\R\R-2.12.0. Then I installed the package BRugs using the install.packages command. I did not get an option during the installation as to what directory I wanted BRugs installed in. It ended up in C:\myusername\Documents as C:\myusername\Documents\R\win-library\2.12\BRugs. When I open and R and run the

Hi, When I used BRugs (Version 0.8.0), I found a bug about the findOpenBUGS way using "OpenBUGS_PATH". I don't know how to contact the developer, so I think someone here may help me. The issue is: I want to use OpenBUGS/BRugs in a portable way in windows, so I set the environment variable "OpenBUGS_PATH" to tell BRugs the path to OpenBugs. But the R library BRugs is still

(Using BRugs 0.7-5, R 2.14.2 32-bit on 64-bit Windows 7, OpenBUGS 3.2.1) 1. BRugs crashes R for me as follows. Sorry about the lack of detail; please let me know if / how to supply a more useful bug report on this issue. fit <- BRugsFit(...) # BRugs and OpenBUGS runs fine, the parameter estimates are reasonable # across 3 chains samplesBgr("beta") # crash

Hi all, There seems a problem when I was installing this package. This question has been frequently asked but I didn't find any clue to solve it from previous answers and comments. And please forgive me if my question has been really answered before! My system is windows xp and R is 2.7x, when I hit in R install.packages("BRugs") the following warnings are output: Warning in

Hi, this is the first announcement of a *developer version* of the R package BRugs, which is based on OpenBUGS 2.1.0. OpenBUGS 2.1.0 has been released earlier this week (http://mathstat.helsinki.fi/openbugs/). BRugs contains a complete OpenBUGS installation as well as R code to access OpenBUGS functionality from R. Simply install the package, load it and say ?BRugs and ?BRugsFit

Hello. In this post: http://finzi.psych.upenn.edu/Rhelp10/2010-March/233815.html Uwe Ligges suggests using BRugs rather than R2WinBUGS under windows. He also notes that it is not in the main CRAN repository, but it is in "extras" which is a default repository under windows. I have OpenBUGS 3.1.0 (the latest that has a native Linux version which is no longer called linBUGS)

I installed XCode, XQuartz and OpenBUGS on my Mac using WINE. When I tried to test my installation I received the following error. If correct, BRugs does not exist for R 2.15.1. Is there a means to get arrange this problem? Thanks Paul The following code is an example from R Help bugs: > schools.sim <- bugs(data, inits, + parameters, model.file, n.chains=3, + n.iter=1000, +

Hello I need to define complex likelihoods in BRUGS-> mixed multinomial probit & random coefficient tobit for panel data can I use the likelihood that i`ve written in R in the BRUGS model? if not, how can I deal with complex likelihoods in BRUGS, there is no integrate function in BRUGS? is there any possibility to this without writing my own sampler in R? Thanx, Johannes

Dear all, I have any problem for my R Program (R.2.8.0). I want to use Brugs Package, this package has been installed. But there are error messages : > library(BRugs) Loading required package: coda Error: package 'coda' could not be loaded In addition: Warning messages: 1: package 'BRugs' was built under R version 2.8.1 2: In library(pkg, character.only = TRUE,

Here is an example: The legends (mainly the factor level names) are cut off on the right. Somehow the internal calculation which computes horizontal space for the legend is not flexible enough. ## Call a new graphics window {with default par()s !}: get(getOption("device"))() par(mfrow = c(2,2)) ## part of example(interaction.plot) _improved_ using with() : data(OrchardSprays)

Dear all, I just wrote a script to have each of my three mcmc chins running on a different computer core to improve computation speed. To do it I use the function sfLapply from the package snowfall. Before using parallell computation, I did my diagnostic analyses just after the model updating, but now I have to save the coda before. Using the CODA package, it is possible to load the outputs in a