similar to: Panel data handling (lags, growth rates)

Hi all, I am trying to use plm to estimate coefficients in a model consisting of a system of equations. So far I used mle2 from the package "bbmle", but now I need to test for autocorrelation and mle2 does not provide for the necessary tests. mle2 needs a function as input that might as well consist of many different equations. plm however requires an object of class formula that needs

Hello, I've been trying to fit Arrellano-Bond model with pgmm but I am getting very strange errors. I've looked around and found no reference to them. I've specified the model in dozens of different ways, and each seems to give me a new kind of error. This leads me to believe this has to do with the way the data is specified, but I can't see anything thats wrong with. My

Hello, All, GWAF 1.2 R.Version() is below. system(lme.batch.imputed( phenfile = 'phenfile.csv', genfile = 'CARe_imputed_release.0.fhsR.gz', pedfile='pedfile.csv', phen='phen1', covar=c('covar1','covar2'), kinmat='imputed_fhs.kinship.RData', outfile='imputed.FHS.IBC.GWAF.LME.output.0.txt' )) Gives the error messages: Error in

I am making the question clear. Please help. > Dear R experts > > I was using kinship package to fit mixed model with kinship matrix. > The package looks like lme4, but I could find a way to extract p-value > out of it. I need to extract is as I need to analyse large number of > variables (> 10000). > > Please help me: > > require(kinship) > > #Generating

Hello, I have posted this problem before, but thought I try to explain it a bit better. I'm using the function plm to create a fixed effects model for panel data, my method is therefor "within" my effect is "twoways". My Data contains unbalanced Panels due to missing Values, but contains 309 observation for 11 variables (incl. response), with no missing Values. These 309

Hi, I want to estimate a dynamic paneldata model with the following code, but unfortenately I received the error message below. form<-PB~Activity+Solvency+Cap_Int

Hi Everyone, I'm quite new to LLVM and I want to update value of global variable in LLVM IR. I created new global variable in ModulePass: bool runOnModule(llvm::Module &M) { IRBuilder<> Builder(M.getContext()); Instruction *I = &*inst_begin(M.getFunction("main")); Builder.SetInsertPoint(I); M.getOrInsertGlobal("globalKey",

Hi, all I try to get the Instructions where one function use the global variable. for (llvm::Module::global_iterator gvar_iter = M.global_begin(); gvar_iter != M.global_end(); gvar_iter++) { llvm::GlobalVariable *gvar = &*gvar_iter; llvm::errs() << "const global var: " << gvar->getName() << "\n"; for (

I don't think it's the same problem as you described. By printing I meant calling printf function and passing my global variable as one of the arguments. My code: Instruction* InstructionVisitor::incrementGlobalKey(Instruction* I) { IRBuilder<> Builder(I->getContext()); Builder.SetInsertPoint(I->getNextNode()); GlobalVariable* key =

Hi Dmitry, > I'm attaching a patch that should fix the issue mentioned above. It > simply makes the same check seen in the same file for global > variables: > > emitPTXAddressSpace(PTy->getAddressSpace(), O); > if (GVar->getAlignment() == 0) > O << " .align " << (int) TD->getPrefTypeAlignment(ETy); > else > O

Hi Duncan, You're right, global variables use preferred alignment. And - yes, preferred alignment in this case is bigger: 8 instead of 4. NVIDIA's prop. compiler gives 4. However, since CUDA 5.0 ptx modules are linkable with each other, I think alignments for externally visible functions and data should all follow ABI rules. Is there a guide on making tests? I have ~5 pending patches

Hi everyone, I am doing some work with LLVM IR, I need to use LLVM IR to do operation on C variables. Code emission is done by LLVM JIT. That variable is C thread local , for example __thread int* gvar; I think some methods to convert that variable to LLVM IR, (1) use external function I know LLVM IR is able to call an external function, so I can write codes that look like: int* load()

Hi Dmitry, > You're right, global variables use preferred alignment. And - yes, > preferred alignment in this case is bigger: 8 instead of 4. NVIDIA's > prop. compiler gives 4. However, since CUDA 5.0 ptx modules are > linkable with each other, I think alignments for externally visible > functions and data should all follow ABI rules. giving it an alignment of 8 does

Test cases exist under test/CodeGen/NVPTX (name changed in May). Now that I'm back at NVIDIA, I'm going to be running through the bugzilla issues (thanks Dmitry for the reports!). I have practically the exact same patch here in my queue. :) In this case, I would prefer ABI alignment for compatibility with the vendor compiler. It should work either way, but I do need to audit the

Dear all, I'm attaching a patch that should fix the issue mentioned above. It simply makes the same check seen in the same file for global variables: emitPTXAddressSpace(PTy->getAddressSpace(), O); if (GVar->getAlignment() == 0) O << " .align " << (int) TD->getPrefTypeAlignment(ETy); else O << " .align " <<

Hi, I am brand new to R and not familiar with the language, though I have been reading the manuals and making some slow going progress. I am working with some source code from a Global Vector Auto -Regressive program written by Ranier Puhr from the R-forge group. I need help interpreting the processes of the following code. I am going to post in parts since it's pretty long: GVAR

Not to distract, but the word, `procedurization' is not an English word. It's just leaping out at me when it is either procedure(s) (noun) or proceduralize (verb). Even processes would make sense. I couldn't help myself because the word was distracting. - Marc P.S. Not that my vote counts, but I'm more in the camp of Hal whose approach to tackling the parallelization

Hi All, We'd like to make a proposal for OpenMP representation in LLVM IR. Our goal is to reach an agreement in the community on a simple, complete and extensible representation of OpenMP language constructs in LLVM IR. Hopefully, this would serve as a common ground and would enable further development of OpenMP support both in Clang and LLVM compiler toolchain. We seek feedback on the

Hi, I'm trying to define a mutable variable, outside functions. The code below is trying to evaluate an expression much like "x = 1" at the module level in Python. It appears that when it tries to JIT the function there is an error because there is no storage allocated for 'x'. How do I do that? thanks, Rob ----- dumped IR ----- ; ModuleID = 'repl-module' %0 =

Hello, FYI, this is a bug http://llvm.org/bugs/show_bug.cgi?id=13324 When compiling the following code for sm_20, func params are by some reason given with .align 0, which is invalid. Problem does not occur if compiled for sm_10. > cat test.ll ; ModuleID = '__kernelgen_main_module' target datalayout = "e-p:64:64-i64:64:64-f64:64:64-n1:8:16:32:64" target triple =