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Hello, I can't connect to a dovecot server (Debian 6.0, default version of Dovecot), I started the daemon but I didn't see errors on console. dovecot-lda works. logs: 2012-12-14 12:47:10 deliver(bernics.gabor at penta.hu): Info: Loading modules from directory: /usr/lib/dovecot/modules/lda 2012-12-14 12:47:10 deliver(bernics.gabor at penta.hu): Info: Module loaded: /usr/lib/dovecot/modules/lda/lib10_quota_plugin.so 2012-12-14 12:47:10 deliver(bernics.gabor at penta.hu): Info: Module loaded: /usr/li...

I have a set of n vectors, x_1, ..., x_n, of the same length. I would like to form the vector of dot products -- x_1'x_1, ..., x_n'x_n the fastest way I can think to do this is to put the vectors into a matrix and do diag(crossprod(X)) however, this seems to be very wasteful since this computes n(n+1)/2-n unnecessary dot products. Is there a better way using existing functions in R?

I can successfully "check" a package with source under 2.5.1, including compiling source files and running examples with no errors or warnings. when I try with R2.6.2, I get make errors: making bayesmc.d from bayesmc.c make[3]:gcc-sjlj: Command not found etc. my gcc is version 3.4.2 I'm using Windows XP. Any thoughts? thanks! peter r ................................ Peter

Writing R Ext says to treat R objects that are arguments to .Call as read only (i.e. don't modify). I have a long list of lists that and I want to avoid the overhead of a copy in my C code. I would just like to modify some of the elements of list by replacing them with elements of exactly the same size/type. below is an example of the essence of the problem. This seems to work. Is this

I have noticed dramatic differences in the run-time for the execution of one of my functions depending on whether or not R was restarted. Immediately after restart of R GUI, exec time = 2.8 min. If I then repeat the execution of the function in the same R session, exec time = 7.1 min. Removing all objects via rm(list=(all=TRUE)) and initiating gc (gc(reset=TRUE)) helps, but only slightly (exec

I have developed a package, bayesm, which uses existing classes of objects. I would like to add a new class corresponding to objects from this package. I have been reading about classes and all sources tell me that I should use so-called "new" or S4 classes. However, a major purpose of defining a class for my package would be to add methods to the existing generic functions: print,

Folks- a patch release of bayesm, v0.0-1, is now available on CRAN. This release corrects some errors in the help pages as well as one error in the function rhierLinearModel involving an incorrect default prior setting. peter ................................ Peter E. Rossi Joseph T. and Bernice S. Lewis Professor of Marketing and Statistics Editor, Quantitative Marketing and Economics Rm

Version 1.0-1 of bayesm is now available on CRAN. This is our first "production" version which include s much improved documentation as well as five data sets used in our book, Bayesian Statistics and Marketing. peter r ................................ Peter E. Rossi Joseph T. and Bernice S. Lewis Professor of Marketing and Statistics Editor, Quantitative Marketing and Economics

Version 1.1-0 of bayesm is now available on CRAN. This version includes Bayesian inference for the NBD(Poisson) regression model and a hierarchical version of the same. It also includes an additional dataset with count data and various covariates. Comments and suggestions for improvement are most welcome. ................................ Peter E. Rossi Joseph T. and Bernice S. Lewis

Folks- We are pleased to announce the release of version 2.0-1 of bayesm. Highlights of the new version: 1. Bayesian treatment of SUR (seemingly unrelated regression) 2. Added clustering to mixture of normals models 3. Added routines to compute implied univ and bivariate densities from mixture of normals MCMC draws 4. improved input error checking in many routines please get rid of your

bayesm version 2.2-0 is now available on CRAN. Major changes include: 1. general density estimation using a Dirichlet Process Prior and a normal base 2. linear instrumental variable models with unknown error distributions (the Bayesian analogue of IV methods). Achieved via DP priors. peter r ................................ Peter E. Rossi Joseph T. and Bernice S. Lewis Professor of

Version 1.0-1 of bayesm is now available on CRAN. This is our first "production" version which include s much improved documentation as well as five data sets used in our book, Bayesian Statistics and Marketing. peter r ................................ Peter E. Rossi Joseph T. and Bernice S. Lewis Professor of Marketing and Statistics Editor, Quantitative Marketing and Economics

Version 1.1-0 of bayesm is now available on CRAN. This version includes Bayesian inference for the NBD(Poisson) regression model and a hierarchical version of the same. It also includes an additional dataset with count data and various covariates. Comments and suggestions for improvement are most welcome. ................................ Peter E. Rossi Joseph T. and Bernice S. Lewis

Release 2.1-1 is now available on CRAN. This release includes-- bayesm classes (some compatible with the mcmc class of coda) for output. plot and summary methods for these classes. additional datasets including store-level panel data. peter r ................................ Peter E. Rossi Joseph T. and Bernice S. Lewis Professor of Marketing and Statistics Editor, Quantitative Marketing

Folks- a patch release of bayesm, v0.0-1, is now available on CRAN. This release corrects some errors in the help pages as well as one error in the function rhierLinearModel involving an incorrect default prior setting. peter ................................ Peter E. Rossi Joseph T. and Bernice S. Lewis Professor of Marketing and Statistics Editor, Quantitative Marketing and Economics Rm

Folks- We are pleased to announce the release of version 2.0-1 of bayesm. Highlights of the new version: 1. Bayesian treatment of SUR (seemingly unrelated regression) 2. Added clustering to mixture of normals models 3. Added routines to compute implied univ and bivariate densities from mixture of normals MCMC draws 4. improved input error checking in many routines please get rid of your

Hello, I have a dovecot IMAP server (relative small hardware: HP Microserver with 6 Gbyte RAM, linux soft RAID1 with 2x 7200 SATA disk) with 100 Gbyte maildirs. Server works fine but sometimes I can open mails slowly (5-10 sec), typical with new mails. It's intresting when I open an another old mail (with 0 sec wait), after new mail open quickly. Is it dovecot mail indexes or I/O problem?

Hello, I upgraded my dovecot server (1.2 -> 2.1), from debian backport because it was a little slow (wait 5-6 sec) when I opened some mail (but not every mail). Unfortunately, the mail open speed didn't increase. I think it's an index problem. Have you idea for fixing? My conf: http://pastebin.com/FNLusi51 [1] (HP Microserver with 6 Gbyte RAM - entry level server with small load