search for: kibbitzing

...rticularly parameter bounds, on parameter inputs to optimization. There is quite a lot of activity going on right now with optimization in R. With Ravi Varadhan, Kate Mullen and Paul Gilbert, I've been putting some codes on R-forge in the OptimizeR project. Doug Bates has done some important kibbitzing. Stefan Theussl and others have the R Optimization Infrastructure. There are some differences of focus in these projects. For the present poster, I cannot unfortunately help much on GNLM details, but I can say that there are trial versions of methods that will handle bounds (packages minqa, Rcg...

This thread reveals that R has some holes in the solution of some of the linear algebra problems that may arise. It looks like Jim Ramsay used a quick and dirty approach to the generalized eigenproblem by using B^(-1) %*% A, which is usually not too successful due to issues with condition of B and making a symmetric/Hermitian problem unsymmetric. In short, the problem is stated as follows:

Hi all, I've been doing some LLVM development recently, as was curious about the status/feasibility of allowing developers to write out-of-tree back-end passes (e.g. `MachineFunctionPass`es) in a matter similar to middle-end passes. From the limited resources I can find online[1][2][3], LLVM currently doesn't support building back-end passes outside of the source tree. Could anybody more

Dear Sirs: Please pardon me I am very new to R. I have been using MATLAB. I was wondering if R would allow me to do principal components analysis on a very large dataset. Specifically, our dataset has 68800 variables and around 6000 observations. Matlab gives "out of memory" errors. I have tried also doing princomp in pieces, but this does not seem to quite work for our approach.