rof Brian Ripley; [EMAIL PROTECTED]
> Cc: r-help@r-project.org; Terry Therneau
> Subject: Re: [R] alternative to logistic regression
>
> >From: Prof Brian Ripley <[EMAIL PROTECTED]>
> >Date: 2007/11/16 Fri AM 09:44:59 CST
> >To: [EMAIL PROTECTED]
> >Cc: Terr
>From: Prof Brian Ripley <[EMAIL PROTECTED]>
>Date: 2007/11/16 Fri AM 09:28:27 CST
>To: Terry Therneau <[EMAIL PROTECTED]>
>Cc: [EMAIL PROTECTED], r-help@r-project.org
>Subject: Re: [R] alternative to logistic regression
Thanks to both of you, Terry and Brian for your
On Fri, 16 Nov 2007, Terry Therneau wrote:
> You can fit a linear probability model with glm and a bit of arm twisting.
> First, make your own copy of the binomial function:
> > dump('binomial', file='mybinom.R')
>
> Edit it to change the function name to "mybinom" (or anything else you
> like),
On Fri, 16 Nov 2007, Terry Therneau wrote:
> Brian Ripley wrote
> "Hmm ... I think you are generalizing from another R-like system."
>
> Actually no, I was reading R source code that has no comments, and assumed
> incorrectly that 1. the variable "okLinks" was the list of allowed links and
> that
Brian Ripley wrote
"Hmm ... I think you are generalizing from another R-like system."
Actually no, I was reading R source code that has no comments, and assumed
incorrectly that 1. the variable "okLinks" was the list of allowed links and
that 2. the error message further in the code
You can fit a linear probability model with glm and a bit of arm twisting.
First, make your own copy of the binomial function:
> dump('binomial', file='mybinom.R')
Edit it to change the function name to "mybinom" (or anything else you
like), and to add 'identity' to the list of okLinks.
So
>From: Prof Brian Ripley <[EMAIL PROTECTED]>
>Date: 2007/11/16 Fri AM 09:44:59 CST
>To: [EMAIL PROTECTED]
>Cc: Terry Therneau <[EMAIL PROTECTED]>, r-help@r-project.org
>Subject: Re: Re: [R] alternative to logistic regression
Thanks Brian: I'll look at the MASS b
Perhaps I could just add that my experience with step halving in glm --
fitting models with somewhat non-standard links for binary response
[as reported in Rnews: http://cran.r-project.org/doc/Rnews/
Rnews_2006-4.pdf]
was excellent. Once some scaling issues for the links were resolved,
we had
On Fri, 16 Nov 2007, [EMAIL PROTECTED] wrote:
>> From: Prof Brian Ripley <[EMAIL PROTECTED]>
>> Date: 2007/11/16 Fri AM 09:28:27 CST
>> To: Terry Therneau <[EMAIL PROTECTED]>
>> Cc: [EMAIL PROTECTED], r-help@r-project.org
>> Subject: Re: [R] alternative
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