[R] How to use BayesTree or RBF for predict

[Mark Difford]

Hi André

>> I'm trying to use bart() ... but I can't predict my test data.

There is no predict() method, as such, but read ?pdbart very carefully, and
work through the examples.  The fitted/predicted values from a fit are in

bartobject$yhat.train.mean

It would be a good idea to read the two PDFs that the authors provide at

http://faculty.chicagogsb.edu/robert.mcculloch/research/rob-mcculloch-cv.html

I've had excellent results from BayesTree, with fits that rival those of
Friedman's RuleFit, though the whole process takes a great deal longer.

HTH,
Mark.



andreBR wrote:
> 
> Hi all,
> 
>  sorry for my english, but I don't speak yours language.
>  I'm trying to use bart() and rbf(). The package I'm using now is
> "BayesTree" and "neural", respectively. I could create the models, but I
> can't predict my test data.
>   Does anyone have such an experience?  Any advice is appreciated!
>   
>  Thank you in advanced!.
> 
> 
> André
> 

-- 
View this message in context: http://www.nabble.com/How-to-use-BayesTree-or-RBF-for-predict-tp15562371p15562524.html
Sent from the R help mailing list archive at Nabble.com.