Re: [R] Logistic ridge regression ...

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Subject: Re: [R] Logistic ridge regression ...
From: Adrian Trapletti (Adrian.Trapletti@wu-wien.ac.at)
Date: Tue 28 Mar 2000 - 21:52:55 EST 

Message-ID: <38E09D17.19EFC469@wu-wien.ac.at>

John Logsdon wrote:

> Hi
>
> I have some data (v. large amount) with a (0,1) response where I want to
> minimise the errors in the betas rather than SS or deviance.
>
> So can anyone point me to a ridge regression function or equivalent for
> such a logistic regression case?

John,

I think you can do that with the nnet code of Brian Ripley. Use the softmax
setting and the weight decay regularizer, which is the same as using a ridge
penalty term, isn't it?

Adrian 

--
Adrian Trapletti, Vienna  University  of  Economics  and Business Ad-
ministration, Operations Research,  Augasse 2-6, 1090 Vienna, Austria
Phone: ++43-(0)1-31336-4561     Email: adrian.trapletti@wu-wien.ac.at
Fax: ++43-(0)1-31336-708   WWW: http://quor.wu-wien.ac.at/adrian.html

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