[R] any implementations for adaptive modeling of time series?
p.nimda at gmail.com
Tue Jan 30 14:09:31 CET 2007
my noisy time series represent a fading signal comprising of long
enough parts with a simple trend inside of each such a part.
Transition from one part into another is always a non-smooth
and very sharp/acute. In other words I have a piecewise
polynomial noisy curve asymptotically converging to the
biased constant, points between pieces are non-differentiable.
I am looking for implementations of models adequate for such a
data. Are there any possibilities to adapt the ARIMA or
Many thanks in advance for any help/URLs
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