James,

You really need to read the documentation. Almost every question that you
have has been addressed in the existing material. For this one, there is a
section on custom models here:

   http://caret.r-forge.r-project.org/training.html

Max


On Wed, Feb 13, 2013 at 9:58 AM, James Jong <ribonucleico@gmail.com> wrote:

> The documentation for caret::train shows a list of parameters that one can
>  tune for each method classification/regression method. For example, for
> the method randomForest one can tune mtry in the call to train. But the
>  function call to train random forests in the original package has many
> other parameters, e.g. sampsize, maxnodes, etc.
>
> Is there **any** way to access these parameters using train in caret? (Is
> the function caret::createGrid limited to the list of parameters specified
> in the caret documentation, it's not super clear if the list of parameter
> is for all the caret APIs).
>
> Thanks,
>
> James,
>
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>
> ______________________________________________
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> and provide commented, minimal, self-contained, reproducible code.
>



-- 

Max

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