>>>>> "Erin" == Erin Hodgess <hodgess at
uhddx01.dt.uh.edu>
>>>>> on Mon, 28 Oct 2002 08:14:32 -0600 (CST) writes:
Erin> Dear R People:
Erin> Is there code for nonlinear time series available, please?
"nonlinear" := "anything not linear"
(which is a lot).
Do you mean parametric / non-parametric?
What is the field of application?
The new StructTS() functionality in R's "ts" package can also a
be considered nonlinear. See also Prof Brian Ripley's article in
the latest R News.
Erin> I'm looking for something that could also provide a model for
Erin> forecasts.
Erin> This is for R V1.5.1 on a PC.
There's our VLMC package for Variable Length Markov Chains.
It models very general (non-linear) time series which
__however__ have to have values
in a small finite set, i.e. X_t \in {x_1, x_2, ..., x_K}.
For the current implementation, mostly K <= 26 since we are using the
alphabet in several places to represent the values.
The success stories where mostly for K=2 (binary time series) or
also K=4 for DNA-modeling.
Martin Maechler <maechler at stat.math.ethz.ch>
http://stat.ethz.ch/~maechler/
Seminar fuer Statistik, ETH-Zentrum LEO C16 Leonhardstr. 27
ETH (Federal Inst. Technology) 8092 Zurich SWITZERLAND
phone: x-41-1-632-3408 fax: ...-1228 <><
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