On Wed, Jan 28, 2009 at 9:51 AM, Dr Carbon drcar...@gmail.com wrote:
How does one coerce predict.gls to incorporate the fitted correlation
structure from the gls object into predictions? In the example below
the AR(1) process with phi=0.545 is not used with predict.gls. Is
there another
How does one coerce predict.gls to incorporate the fitted correlation
structure from the gls object into predictions? In the example below
the AR(1) process with phi=0.545 is not used with predict.gls. Is
there another function that does this? I'm going to want to fit a few
dozen models varying in
Since I'm getting no joy looking for an R implementation of the matlab
function csaps, can anybody advise me on porting csaps from Octave?
There is an octave implementation of csaps here:
http://octave.svn.sourceforge.net/viewvc/octave/trunk/octave-forge/nonfree/spline-gsvspl/inst/csaps.m
This
Is there is function in R equivalent to Matlab's csaps? I need a
spline function with the same calculation of the smoothing parameter
in csaps to compare some results. AFAIK, the spar in smooth.spline is
related but not the same.
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