On 2 July 2013 15:34, Achim Zeileis <Achim.Zeileis@uibk.ac.at> wrote:

> On Tue, 2 Jul 2013, Vicent Giner-Bosch wrote:
>
>  I am interested in applying a "classification tree" analysis where the
>> response variable is a censored variable (survival data).
>>
>> I've discovered the package 'party' through this page:
>> http://www.statmethods.net/**advstats/cart.html<http://www.statmethods.net/advstats/cart.html>.
>> However, as my sample is not
>> very big I would like to apply 'bootstrap' and use 'random forests', but
>> with my censored response variable.
>>
>> Are there any packages for that??
>>
>
> cforest() in the same package. See citation("party") for the corresponding
> references.
>
> Best,
> Z



Thank you for the reference!

I've also found a package called "randomSurvivalForest", that is mentioned
in "A review of survival trees" by Imad Bou-Hamad (doi:10.1214/09-SS047).

I don't know how to chose "the right package", if any. I am new to R. How
do you usually asses whether a package is good and reliable enough or not??

Thank you in advance.

--
vicent

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