search for: ehg182

...riction and got "k>d2MAX in ehg136.? Need to recompile with increased dimensions." How easy would that be to do? I cannot find a definition of d2MAX anywhere, and it seems this might be hardcoded -- the error is apparently triggered by line #1359 in loessf.f ????? if(k .gt. 15)?? call ehg182(105) Alternatively, does anyone know of an implementation of local regression with global (parametric) offset groups that could be applied here? Or is there a better way of dealing with this? I tried lme with correlation structures but that seems to be much, much slower. Any comments would be gr...

Dear John, > I suggest that you look at the abilities of the mgcv package. > There are notes of mine at > > http://www.maths.anu.edu.au/%7Ejohnm/r-book/xtras/autosmooth.pdf > > that may help you get started. Thank?you very much for the suggestion and the link to your write-up, it was indeed very helpful! I have experimented with this library for a while now and am really happy

Dear R experts, I have a problem that is a related to the question raised in this earlier post https://stat.ethz.ch/pipermail/r-help/2007-January/124064.html My situation is different in that I have only 2 predictors (coordinates x,y) for local regression but a number of global ("parametric") offsets that I need to consider. Essentially, I have a spatial distortion overlaid over a

...xample) and got "k>d2MAX in ehg136.? Need to recompile with increased dimensions." How easy would that be to do? I cannot find a definition of d2MAX anywhere, and it seems this might be hardcoded -- the error is apparently triggered by line #1359 in loessf.f ????? if(k .gt. 15)?? call ehg182(105) Alternatively, does anyone know of an implementation of local regression with global (parametric) offset groups that could be applied here? Or is there a better way of dealing with this? I tried lme with correlation structures but that seems to be much, much slower. Any comments would be gr...