similar to: package compilation

Hi, I have a linear mixed-effects model object and want to extract the 95% confidence intervals for the fixed and random effects, respectively. I found the function intervals() for confidence intervals for the fixed effects but no corresponding function for the random effects. Does it exist or do I have to calculate the confidence intervals for the random effects myself? Greetings, joerg

Hi, concerning my earlier mail, maybe someone has noted from the variable names that I try to analyse mircoarrary experiments. Does anybody know of a R-implementation of the two-step mixed-model normalization procedure proposed by Wolfinger et al. (2001) J. Comput. Biol. 8:625-637? That would be great, best, joerg

Hi, does anybody know of a nice test to detect trend turning points in time series? Possibly with reference? Thanks, joerg

Hi, trying to do a robudt regression of a two-way linear model, I keep getting the following error: > lqs(obs ~ y + s -1,method="lms", contrasts=list(s=("contr.sum"))) Error: lqs failed: all the samples were singular Robust regression with M-estimators works (also regular least square fits, of course): rlm.formula(formula = obs ~ y + s - 1, method = "M",

Hi, I am trying to create a R-package. When I load my R source files using source() for debugging reasons everthing works fine and all function also do want they are supposed to do. However, when I run 'R CMD check' it stop with * checking R files for syntax errors ... ERROR Syntax error in file Is there a way to further investigate where the error is? greetings, joerg

Hi, I have the following linear mixed model: y(g,i,j,k,l)=u + L(g) + T(i) + D(j) + S(k) + (TS)(i,k) + error(g,i,j,k,l) where S(k) and the combined effect (TS)(i,k) are random effects whereas the rest are fixed effects. How do I specifiy the random part of the model formula in lme(), especially concerning the combined effect (TS)? Moreover, when I run the model as a fixed effect model I get

Hi, I have two non-normal distributions and use interquartile ranges as a dispersion measure. Now I am looking for a test, which tests whether the interquartile ranges from the two distributions are significantly different. Any idea? Thanks, joerg [[alternative HTML version deleted]]

Chris Lattner wrote: >> Mainly this is about a nuisance to need to ask users of TCE to recompile >> LLVM (which might be even installed from a precompiled binary for their >> distro) to be able to compile TCE. > > I'm dubious that doing that would actually work anyway. Since LLVM doesn't > provide a stable API, being able to reuse a previously installed

I don't think there is any infrastructure for this kind of specialization. The closest thing I can think of is the profile-guided optimization stuff that Andreas Neufstifter has worked on. Because compilation and optimization with LLVM is expensive, our approach with Unladen Swallow has been to try to wait longer to generate specialized code, so we don't have to recompile. If memory

Hi all, I'm attempting to use LLVM for run-time code specialization, but I'm facing a performance hurdle. I'm currently performing the specialization during the AST to LLVM IR translation, but unfortunately this leads to relatively slow recompiles as LLVM has to perform all the heavy (optimization) passes over and over again. So I was hoping that by first creating unspecialized LLVM

After a kernel update (but before rebooting) Is there a way to recompile Zap/Dahdi against the new kernel? My objective is to eliminate the additional downtime that occurs while recompiling/installing zap/dahdi after booting into the new kernel. Please correct me if I'm wrong: My understanding is that until you reboot (after a kernel update), recompiling zap/dahdi still compiles against

Hi all, I am running SuSE 6.2 on a machine with 2 processors, so I just recompiled the kernel to pick up the second cpu. I now have problems using smbmount (2.0.5a that came with distrubution) or using the newer mount syntax (I just installed 2.0.6) to mount a share from an NT 4.0 server. After issuing the smbmount/mount command, and then going to the mount point, I get i/o errors on the

Hi Marwa, MCJIT doesn't provide any support for recompilation. The best you can do is use multiple MCJIT instances and destroy whichever one contains the function "foo" that you want to recompile. MCJIT does not do any dependence tracking either, so you'll also need to destroy and recompile any direct callers of "foo" (and their direct callers, and so on). If you know

Hi everyone, I have felt for quite some time that during my regular LLVM workflow, CMake recompiles a lot of files after I update to the latest ToT (which I do more than once per week). Of course, this wasn't really based on any real data, just felt like every time I update (even if it's a day or two later), we end up recompiling everything. For a while I assumed that patches touch a few

Hi, have got anybody experience or a starting point for me, how i can program a function which calculate me a probability transition matrix with a data.frame and two states. I have some independend variable and a class variable for two states - in example one from Jan2003 and the same variables from June2003. Now i would like to calculate the probability that PERSON X change from classA to

On Tue, Mar 29, 2011 at 4:45 PM, Eric Christopher <echristo at apple.com>wrote: > > > > Project Outline: > > > > > > > > Currently, the LLVM JIT serves as a management layer for the executed > LLVM IR, it manages the compiled code and calls the LLVM code generator to > do the real work. There are levels of optimizations for the LLVM code >

Dear All Is there is a way to recompile a function at runtime? It seems that I need to -like - invalidate the recompiled function to force the MCJIT to recompile it, cause when I just call runFunction, it neglects any modifications in the function code. Thanks in advance. Regards, Marwa Yusuf Teaching Assistant - Computer Engineering Department Faculty of Engineering - Benha University E-JUST

> > > > I have some global scripts that were running nicely. > > > > > > > > Then I opened one in an editor and (probably, but not 100% sure) > > > > mindlessly saved the file, even though I hadn't made any changes. > > > > > > > > Shortly after, Sieve errors started showing in the log: > > > > > > >

> > Project Outline: > > > > Currently, the LLVM JIT serves as a management layer for the executed LLVM IR, it manages the compiled code and calls the LLVM code generator to do the real work. There are levels of optimizations for the LLVM code generator, and depends on how much optimizations the code generator is asked to do, the time taken may vary significantly. The

Hi I'm encountering an error/warning when doing multiple comparisons with the package multcomp on a coxme model. My data: I'm looking at the removal of brood from the nest according to three treatments I applied on the brood. The brood and the workers caring about the brood in the nest, belonged to different colonies. Factor: treatment (3 levels: tx,uv,meta) Random effect 1: origin of