[R] predict() without generating the model within R

[Duncan Murdoch]

On 10/05/2010 6:13 PM, Chaudhari, Bimal wrote:
> Is there a predict method/syntax which I could use to generate
> predictions (and other output from predict() methods) if I have the
> model parameter estimates from a training dataset but not the data used
> to generate the original model (the models were generated by a
> collaborator using STATA and for IRB reasons I am not allowed
> independent access to the original data)?  I have the new/testing data
> upon which I wish to base my predictions.
>   

That depends on what model is being fit, but in general I'd say it would 
be impractical to put together enough information for predict() to work 
properly.  However, you can do predictions for many models just from 
their definition, and you may have enough information to calculate 
errors as well.  But you'll need to program the formulas yourself.

Duncan Murdoch
> Thanks,
> Bimal
>
> PS-yes, I know that if my collaborator just used R, he could send me
> just the model as an Rdata object.  That is not going to happen in this
> instance.
>
>
> Bimal P Chaudhari, MPH
> Boston University
> MD Candidate, 2011
> Washington University in St. Louis
> MS Candidate, 2010
> Doris Duke Clinical Research Fellow
> 314-286-2864
>
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