[R] Where is gam?
Anantha Prasad/NE/USDAFS
aprasad at fs.fed.us
Tue Oct 3 17:32:50 CEST 2000
Prof Brian Ripley <ripley at stats.ox.ac.uk> writes:
> I don't think
> that asking for a technical consultancy in response to the answer
> to a question on software availability is fair. You have already
> used up a lot of R core time with R questions.
I had no idea that I was asking for technical consultancy - it's just that
since you said that gam is over-sold and poorly implemented in S, I was
curious to know more about what prompted you to say that - since I am sure
many people (including me) use gam. My sincere apologies to the group if my
question falls in that realm and if I have used up too much of R core time.
I would like to thank you all again for those very helpful replies.
Hopefully, I can implement a public domain version of the my application
that'll be helpful to a few out there in order to repay my debt.
I'll try to remain silent for a while.
Prasad
*****************************************************************
Mr. Anantha Prasad, Ecologist/GIS Specialist
USDA Forest Service, 359 Main Rd.
Delaware OHIO 43015 USA
Ph: 740-368-0103 Email: aprasad at fs.fed.us
Web: http://www.fs.fed.us/ne/delaware/index.html
Don't Miss Climate Change Tree Atlas at:
http://www.fs.fed.us/ne/delaware/atlas/index.html
******************************************************************
Prof Brian
Ripley To: aprasad at fs.fed.us
<ripley at stats cc:
.ox.ac.uk> Subject: Re: [R] Where is gam?
10/03/00
11:12 AM
Please
respond to
Prof Brian
Ripley
From: "Anantha Prasad/NE/USDAFS" <aprasad at fs.fed.us>
> Date: Tue, 3 Oct 2000 10:24:10 -0400
>
>
> Prof Brian Ripley <ripley at stats.ox.ac.uk> writes:
>
> > One reason that gam is not there is that some of us think it
> > is much over-sold as a technique and the way it is done in S is poorly
> > implemented.
> Could you please clarify.... there has been a lot of interest in gam
> recently in predicting species distribution and environmental management
> (there is in fact a workshop scheduled in Switzerland next year on
GLM/GAM
> modelling). So many of us would be very interested to learn about its
(Not exactly topical then: 1970s and 1980s statistical techniques)
> shortcomings (reason why you think it is oversold technique)...and also
> what aspects of it are poorly implemented in S.
> If you shed some light on this, it will be of great help to us.
Take a look in the archives: we've been here before. I don't think
that asking for a technical consultancy in response to the answer
to a question on software availability is fair. You have already
used up a lot of R core time with R questions.
--
Brian D. Ripley, ripley at stats.ox.ac.uk
Professor of Applied Statistics, http://www.stats.ox.ac.uk/~ripley/
University of Oxford, Tel: +44 1865 272861 (self)
1 South Parks Road, +44 1865 272860 (secr)
Oxford OX1 3TG, UK Fax: +44 1865 272595
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