[R] Holt-Winters code in R or S?
jaitchis at lisp.com.au
Tue Feb 20 13:04:05 CET 2001
On 19 Feb 2001, at 16:31, M. Edward (Ed) Borasky wrote:
> Can someone point me to R (or S) code for Holt-Winters forecasting?
dunno if there is any specifically as such, and a lot of the ad-hoc
forecasting procedures can be implemented as special cases of AR/MA
approaches which are variously implemented in ts, tseries, dse etc .. but
fwiw I just implemented ewma as a programming exercise and will do
discounted least squares/Holt Winters in the next day or so .. I am
following the notation and procedure of Harvey "Forecasting, structural
time series models and the Kalman filter".. anyone who wants this code,
rudimentary as it is,,just email me.
I have an interest in the "BATS" approach (Bayesian Analysis of Time
Series.. as in Harrison, West, Pole ) and somewhere I have some skeleton S
code that I think I could probably port to R
I am also working through "Non-linear time series models in empirical
finance" (Franses & van Dijk) and slowly implementing some bits and pieces
.. I'd be glad to contribute these as and when.
I think this raises the issue , attention BR and the core development
team, as to whether there is a role for a repository of "slop code" .. use
at your own risk, probably not a lot of documentation, not a full fledged
package, perhaps slightly "disreputable", a sort of relaxed and
comfortable approach and hey, why not?... if there is no right answer to
an ill-specified question, then maybe it is sensible to admit some other
For example, I have followed with interest the process of admitting
factanal() into the fold. got varimax and promax rotations and caveats
galore, as there should be. Personally, I have always liked procedures
along the lines of the 'iterative powered vector factor analysis'
approach in Overall and Klett ~1972 and would be happy to implement such
.. without having done it in R , I suspect that it is just a few tens of
lines of code.
So, is there a role for //RLIB ?.. just R code, not interfaces to DLL's ..
where people can easily upload simple R functions that can be used
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