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There is a C program called GPS: 'gamma poisson shrinker' at ftp://ftp.research.att.com/dist/gps/ The algorithms in GPS are based on S-Plus programs written by William DuMouchel with support from Columbia University and AT&T Labs. My question is: is there a relatively easy way to extract some of the S code from this windows program? Thanks. -- View this message in context: http://www.nabble.com/Extracting-S-code-from-a-C-program-tf4044952.html#a11489962 Sent from...

...xture of two gamma distributions. Is there a way to determine the poisson means in R, given the Ns and the probabilities? And how can one determine the two alphas and the two betas of the gamma mixtures? I am assuming there will be an MLE somewhere. This is to help me understand and apply William DuMouchel concept of datamining especially in his article: "Bayesian data mining in large frequency tables". Thanks

I am replying to the email below my signature; it is nominally about dmp files, but apparently specific to problems with Bill DuMouchel's hblm program. I have been using this program on Splus for years, and ran into some of the same problems Jack did in trying to get it into R. I talked with Bill about it, and he didn't know that there would be any problems; he assumed that R was functionally identical to Splus, and that...

I'm sorry that this question has been asked before but I ask it again because in the archives I didn't see a solution. It's an old S-plus dmp file for a hierarchical bayes linear model program written by DuMouchel and available publicly and freely at: ftp://ftp.research.att.com/dist/bayes-meta/hblm.dmp Only problem is that it cannot be read in R, even using the functions of the library foreign to read dmp files. Does anyone know a workaround, maybe hints about what parts of the file need to be modified so t...

Thanks for doing this Thomas, I have been thinking about what it would take to do this, but if it were left to me, it would have taken a lot longer. Back in the 80's there was a statistical package called RUMMAGE that did all computations based on sufficient statistics and did not keep the actual data in memory. Memory for computers became cheap before datasets turned huge so there

All: I am trying to fit a mixture of 2 normals with > 110 million observations. I am running R 2.5.1 on a box with 1gb RAM running 32-bit windows and I continue to run out of memory. Does anyone have any suggestions. Thanks so much, Tim [[alternative HTML version deleted]]

I am trying to use the LME package to run a multilevel logistic model using the following code: ------------------------------------------------------------------------ ------------------------------------------- Model1 = GLMM(WEAP ~ TSRAT2 , random = ~1 | GROUP , family = binomial, na.action = na.omit ) ------------------------------------------------------------------------

Hi R-friends, Attached is the SAS XPORT file that I have imported into R using following code library(foreign) mydata<-read.xport("C:\\ctf.xpt") print(mydata) I am trying to maximize logL in order to find Maximum Likelihood Estimate (MLE) of 5 parameters (alpha1, beta1, alpha2, beta2, p) using NLM function in R as follows. # Defining Log likelihood - In the function it is noted as

...ributions. > Is there a way to determine the poisson means in R, given the Ns and the > probabilities? > And how can one determine the two alphas and the two betas of the gamma > mixtures? I am assuming there will be an MLE somewhere. > This is to help me understand and apply William DuMouchel concept of > datamining especially in his article: "Bayesian data mining in large > frequency tables". Thanks > > > > ------------------------------ > > Message: 10 > Date: Mon, 25 Dec 2006 18:31:33 -0500 (EST) > From: Frank Grex <franco@grex.cyberspace.or...