similar to: VST plugin (ez drummer)

https://bugs.freedesktop.org/show_bug.cgi?id=47306 Bug #: 47306 Summary: segfault in nouveau_fence_update Classification: Unclassified Product: xorg Version: unspecified Platform: x86 (IA32) OS/Version: Linux (All) Status: NEW Severity: blocker Priority: medium Component: Driver/nouveau

Listmates, Woking with compiz 8.2 on kde 4.3 beta 2 on Archlinux, the plasma "kicker" pager widget does not work correctly after compiz 8.2 is started. Before compiz is started you see the 4 small desktop representations stacked 2x2. After you start compiz, the panel only shows a single large pane 'Desktop 1' no matter what desktop you are on. The strange part is that

http://bugs.freedesktop.org/show_bug.cgi?id=26992 Summary: Systemsettings crashes when I try to open desktop settings Product: xorg Version: 7.5 Platform: x86-64 (AMD64) OS/Version: Linux (All) Status: NEW Severity: normal Priority: medium Component: Driver/nouveau AssignedTo:

Dear R users, I want to explain binomial data by a serie of fixed effects. My problem is that my binomial data are spatially correlated. Naively, I thought I could found something similar to gls to analyze such data. After some reading, I decided that lmer is probably to tool I need. The model I want to fit would look like lmer ( cbind(n.success,n.failure) ~ (x1 + x2 + ... + xn)^2 ,

Hello, still searching but didn't find very precise answers yet, is there a computer-aided musical creation -oriented flavor of CentOS (like the Ubuntu Studio)? Or would it be about gathering stuff from different repos and setting up everything by hand? A repository that would provide low-latency kernel (realtime one?): I've found the CentOS-RT from the CERN + (1)). Specific tools (from

Hi all, I have searched for a long time to find out R program about V ariable S election for GLMM (Generalized Linear Mixed Model). I saw several great R packages for V ariable S election. I  also found several R packages for GLMM. But, I did not find yet R package about V ariable S election for GLMM even though sevel  papers about it have been published.   In fact,  I need V ariable 

Hi, I am starting to work with R. I need to performe a General linear model and a Generalized mixed model, what are the package I have to use for? what is the difference between them? thanks letizia _________________________________________________________________ [[alternative HTML version deleted]]

Hi, I have fitted a generalized linear mixed effects model using lmer (library lme4), and the family = quasibinomial. I have tried to obtain a MCMC sample, but on calling mcmcsamp(model1, 1000) I get the following error which I don't understand at all: Error in .local(object, n, verbose, ...) : Update not yet written traceback() delivers: 4: .Call(mer_MCMCsamp, ans, object) 3:

I have installed lme4 library, but when I try something with lmer() function, I receive error message. On the other hand, I can use lme() function from the same library. Are those two the very same function or not? I am a bit confused. I am using: $platform: "i386-pc-linux-gnu" $arch: "i386" $os: "linux-gnu" $system: "i386, linux-gnu" $major: "2"

Dear all, I am working on a data set in which I have sequentially measured egg temperatures ("eggtemp") in birds incubating in different ambient temperatures ("treat", sample data set below), "id" is not replicated within treatment. id treat eggtemp 1 79 3 30.90166 2 42 3 34.94044 3 10 3 32.69945 4 206 3 36.64127 5 23 3 31.80055 6