R help - Feb 2013 - party::cforest - predict?

What is the function call interface for predict in the package party for
cforest? I am looking at the documentation (the vignette) and ?cforest and
from the examples I see that one can call the function predict on a cforest
classifier. The method predict seems to be a method of the class
 RandomForest objects of which are returned by cforest.

---------------------------
> cf.model = cforest(...)
> methods(class=class(cf.model))
[1] predict.RandomForest*    predictors.RandomForest* print.RandomForest*

[4] varImp.RandomForest*     weights.RandomForest*

   Non-visible functions are asterisked
---------------------------

But I could not find the list of arguments that predict for cforest accepts.

The link on the function "predict" in the vignette (wherever it is
mentioned) just takes you to the front page. Is the API for predict missing
from the documentation?

Thanks,

James

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On 14.02.2013 20:29, James Jong wrote:
> What is the function call interface for predict in the package party for
> cforest? I am looking at the documentation (the vignette) and ?cforest and
> from the examples I see that one can call the function predict on a cforest
> classifier. The method predict seems to be a method of the class
>   RandomForest objects of which are returned by cforest.
>
> ---------------------------
>> cf.model = cforest(...)
>> methods(class=class(cf.model))
> [1] predict.RandomForest*    predictors.RandomForest* print.RandomForest*
>
> [4] varImp.RandomForest*     weights.RandomForest*
>
>     Non-visible functions are asterisked
> ---------------------------
>
> But I could not find the list of arguments that predict for cforest
accepts.
>
> The link on the function "predict" in the vignette (wherever it
is
> mentioned) just takes you to the front page. Is the API for predict missing
> from the documentation?
If you found that so far, the rest is simple to get more help on the 
method for the predict generic for class randomForest:

library("randomForest")
?predict.randomForest

Best,
Uwe Ligges
> Thanks,
>
> James
>
> 	[[alternative HTML version deleted]]
>
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