search for: blkfct

...uper=..., snode=..., split=..., xlindx=..., lindx=..., xlnz=..., lnz=..., link=..., length=..., indmap=..., relind=..., tmpsiz=10, temp=..., iflag=0, mmpyn=0x7ffff3d79d90 <mmpy8 >, smxpy=0x7ffff3d75b80 <smxpy8>, tiny=Cannot access memory at address 0xe00000000 #3 0x00007ffff3d78bad in blkfct (neqns=<optimized out>, nsuper=<optimized out>, xsuper=..., snode=..., split=..., xlindx=..., lindx= ..., xlnz=..., lnz=..., iwsiz=796, iwork=..., tmpsiz=10, tmpvec=..., iflag=0, mmpyn=0x7ffff3d79d90 <mmpy 8>, smxpy=0x7ffff3d75b80 <smxpy8>, tiny=Cannot access memory at a...

Gurus: I have a new version of my quantreg package with minimal changes, mainly to fix some obscure fortran problems. It fails R CMD check ?as-cran with the error: Running examples in ?quantreg-Ex.R? failed The error most likely occurred in: > base::assign(".ptime", proc.time(), pos = "CheckExEnv") > ### Name: plot.rqss > ### Title: Plot Method for rqss Objects

Dear all, I am running a quantile estimation with Sparse matrix and when I run the procedure rq.fit.sfn I receive the following warning: tiny diagonals replaced with Inf when calling blkfct. Does anyone knows exactly what does it mean? What's this kind of error? Should I get worried about this message? The matrix I use is a full rank matrix (and indeed I do not have any message about singularity problems). Many thanks for your help alessia

...article. So I use the code the that is posted in the following link: http://www.econ.uiuc.edu/~roger/research/panel/rq.fit.panel.R While this code run perfectly, it does not work for my data providing a warning message: In rq.fit.sfn(D, y, rhs = a) : tiny diagonals replaced with Inf when calling blkfct So I am wondering if I am doing something wrong or if it is data's problem (which runs perfectly at least for fixed and random effects as well as for quantile regression adding dummies of states and years just like fixed effects). Any help would be highly appreciate Thanks Dimitris #######...